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- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r2-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r2-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r2-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r2-a2/training_logs.json +625 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r32-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r32-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r32-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r32-a2/training_logs.json +625 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r8-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r8-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r8-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r8-a2/training_logs.json +625 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_e-r32-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_e-r32-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_e-r32-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_e-r32-a2/training_logs.json +1273 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-boolq-r2-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-boolq-r2-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-boolq-r2-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-boolq-r2-a2/training_logs.json +2659 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-hellaswag-r8-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-hellaswag-r8-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-hellaswag-r8-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-hellaswag-r8-a2/training_logs.json +0 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r2-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r2-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r2-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r2-a2/training_logs.json +0 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r8-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r8-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r8-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r8-a2/training_logs.json +0 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r32-a2/adapter_config.json +39 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r32-a2/eval_results.json +4 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r32-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r32-a2/training_logs.json +0 -0
- TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r8-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2/adapter_config.json +40 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2/eval_results.json +4 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2/training_logs.json +625 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r32-a2/adapter_config.json +40 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r32-a2/eval_results.json +4 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r32-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r32-a2/training_logs.json +625 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r8-a2/adapter_config.json +40 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r8-a2/eval_results.json +4 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r8-a2/training_configuration.json +38 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r8-a2/training_logs.json +625 -0
- TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_e-r32-a2/adapter_config.json +40 -0
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r2-a2/adapter_config.json
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{
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"alpha": 4,
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"auto_mapping": null,
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"base_model_name_or_path": "TinyLlama/TinyLlama_v1.1",
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"bias": "none",
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"enabled_mlp": true,
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"enabled_qkv": [
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"q",
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"k",
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"v"
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],
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"fan_in_fan_out": false,
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"inference_mode": false,
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"layers_pattern": null,
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"layers_to_transform": null,
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"mixture": false,
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"modules_to_preserve_errors": null,
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"modules_to_quantize": null,
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"modules_to_save": null,
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"onnx_export": false,
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"optimization_level": 3,
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"orthogonal_init": false,
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"peft_type": "MARS",
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"quant_n_bits": 4,
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"r": 2,
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"revision": null,
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"seed": 42,
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"shared_r": 2,
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"target_modules": [
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"o_proj",
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"k_proj",
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"down_proj",
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"gate_proj",
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"v_proj",
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"up_proj",
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"q_proj"
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],
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"task_type": null
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}
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r2-a2/eval_results.json
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{
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"task": "arc_c",
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"results": 0.5691126279863481
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}
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r2-a2/training_configuration.json
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{
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"model_id": "TinyLlama/TinyLlama_v1.1",
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"dataset": {
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"name": "ARC_C",
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"dataset_id": "allenai/ai2_arc",
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"preprocess_id": "arc_train_deepeval"
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},
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"peft_config": {
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"method": "mars",
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"rank": 2,
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"alpha": 4,
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"dropout": 0.0,
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"bias": "none",
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"target_modules": [
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"q_proj",
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"k_proj",
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"v_proj",
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"o_proj",
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"gate_proj",
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"down_proj",
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"up_proj"
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],
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"trainable_parameter_count": 1307064
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},
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"training_config": {
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"max_dataset_length": null,
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"batch_size": 64,
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"per_device_batch_size": 32,
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"gradient_accumulation_steps": 2,
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"learning_rate": 0.0003,
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"num_epochs": 4,
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"warmup_ratio": 0.1
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},
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"model_name": "TinyLlama_v1.1-mars-arc_c-r2-a2",
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"output_dir": "./experiment_results/TinyLlama_v1.1-mars-opt3-q4-new/TinyLlama_v1.1-mars-arc_c-r2-a2",
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"seed": 42,
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"timestamp": "2025-08-29T18:23:17.489113"
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}
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r2-a2/training_logs.json
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| 616 |
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| 617 |
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| 618 |
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| 619 |
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| 620 |
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| 621 |
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| 622 |
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| 623 |
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| 624 |
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| 625 |
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|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r32-a2/adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
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|
| 1 |
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{
|
| 2 |
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"alpha": 64,
|
| 3 |
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|
| 4 |
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|
| 5 |
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"bias": "none",
|
| 6 |
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"enabled_mlp": true,
|
| 7 |
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"enabled_qkv": [
|
| 8 |
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"q",
|
| 9 |
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"k",
|
| 10 |
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"v"
|
| 11 |
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],
|
| 12 |
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"fan_in_fan_out": false,
|
| 13 |
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"inference_mode": false,
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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"optimization_level": 3,
|
| 22 |
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"orthogonal_init": false,
|
| 23 |
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"peft_type": "MARS",
|
| 24 |
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"quant_n_bits": 4,
|
| 25 |
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"r": 32,
|
| 26 |
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"revision": null,
|
| 27 |
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"seed": 42,
|
| 28 |
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"shared_r": 32,
|
| 29 |
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"target_modules": [
|
| 30 |
+
"o_proj",
|
| 31 |
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"k_proj",
|
| 32 |
+
"down_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
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"up_proj",
|
| 36 |
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"q_proj"
|
| 37 |
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],
|
| 38 |
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"task_type": null
|
| 39 |
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}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r32-a2/eval_results.json
ADDED
|
@@ -0,0 +1,4 @@
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| 1 |
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{
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| 2 |
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"task": "arc_c",
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| 3 |
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"results": 0.5503412969283277
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| 4 |
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|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r32-a2/training_configuration.json
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
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{
|
| 2 |
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"model_id": "TinyLlama/TinyLlama_v1.1",
|
| 3 |
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"dataset": {
|
| 4 |
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"name": "ARC_C",
|
| 5 |
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"dataset_id": "allenai/ai2_arc",
|
| 6 |
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"preprocess_id": "arc_train_deepeval"
|
| 7 |
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},
|
| 8 |
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|
| 9 |
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|
| 10 |
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"rank": 32,
|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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|
| 16 |
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|
| 17 |
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"v_proj",
|
| 18 |
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"o_proj",
|
| 19 |
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"gate_proj",
|
| 20 |
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"down_proj",
|
| 21 |
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"up_proj"
|
| 22 |
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],
|
| 23 |
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| 24 |
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},
|
| 25 |
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"training_config": {
|
| 26 |
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"max_dataset_length": null,
|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"learning_rate": 0.0003,
|
| 31 |
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"num_epochs": 4,
|
| 32 |
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"warmup_ratio": 0.1
|
| 33 |
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},
|
| 34 |
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"model_name": "TinyLlama_v1.1-mars-arc_c-r32-a2",
|
| 35 |
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"output_dir": "./experiment_results/TinyLlama_v1.1-mars-opt3-q4-new/TinyLlama_v1.1-mars-arc_c-r32-a2",
|
| 36 |
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"seed": 42,
|
| 37 |
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"timestamp": "2025-08-30T08:36:40.140752"
|
| 38 |
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}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r32-a2/training_logs.json
ADDED
|
@@ -0,0 +1,625 @@
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r8-a2/adapter_config.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r8-a2/eval_results.json
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| 15 |
+
"q_proj",
|
| 16 |
+
"k_proj",
|
| 17 |
+
"v_proj",
|
| 18 |
+
"o_proj",
|
| 19 |
+
"gate_proj",
|
| 20 |
+
"down_proj",
|
| 21 |
+
"up_proj"
|
| 22 |
+
],
|
| 23 |
+
"trainable_parameter_count": 5233536
|
| 24 |
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},
|
| 25 |
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"training_config": {
|
| 26 |
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"max_dataset_length": null,
|
| 27 |
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"batch_size": 64,
|
| 28 |
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"per_device_batch_size": 32,
|
| 29 |
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"gradient_accumulation_steps": 2,
|
| 30 |
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"learning_rate": 0.0003,
|
| 31 |
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"num_epochs": 4,
|
| 32 |
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"warmup_ratio": 0.1
|
| 33 |
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},
|
| 34 |
+
"model_name": "TinyLlama_v1.1-mars-arc_c-r8-a2",
|
| 35 |
+
"output_dir": "./experiment_results/TinyLlama_v1.1-mars-opt3-q4-new/TinyLlama_v1.1-mars-arc_c-r8-a2",
|
| 36 |
+
"seed": 42,
|
| 37 |
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"timestamp": "2025-08-30T01:30:22.564244"
|
| 38 |
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}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_c-r8-a2/training_logs.json
ADDED
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@@ -0,0 +1,625 @@
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_e-r32-a2/adapter_config.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_e-r32-a2/eval_results.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_e-r32-a2/training_configuration.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-arc_e-r32-a2/training_logs.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-boolq-r2-a2/adapter_config.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-boolq-r2-a2/eval_results.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-boolq-r2-a2/training_configuration.json
ADDED
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| 29 |
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"gradient_accumulation_steps": 2,
|
| 30 |
+
"learning_rate": 0.0003,
|
| 31 |
+
"num_epochs": 2,
|
| 32 |
+
"warmup_ratio": 0.1
|
| 33 |
+
},
|
| 34 |
+
"model_name": "TinyLlama_v1.1-mars-boolq-r2-a2",
|
| 35 |
+
"output_dir": "./experiment_results/TinyLlama_v1.1-mars-opt3-q4-new/TinyLlama_v1.1-mars-boolq-r2-a2",
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"timestamp": "2025-08-29T13:54:03.881222"
|
| 38 |
+
}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-boolq-r2-a2/training_logs.json
ADDED
|
@@ -0,0 +1,2659 @@
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|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"step": 1,
|
| 4 |
+
"epoch": 0.006779661016949152,
|
| 5 |
+
"cpu_mem": 1.692184576,
|
| 6 |
+
"gpu_mem": 1.039525888,
|
| 7 |
+
"loss": 8.874,
|
| 8 |
+
"grad_norm": 291.3755798339844,
|
| 9 |
+
"learning_rate": 9.999999999999999e-06
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"step": 2,
|
| 13 |
+
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-hellaswag-r8-a2/adapter_config.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-hellaswag-r8-a2/eval_results.json
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-hellaswag-r8-a2/training_configuration.json
ADDED
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-hellaswag-r8-a2/training_logs.json
ADDED
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r2-a2/adapter_config.json
ADDED
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|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r2-a2/eval_results.json
ADDED
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TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r2-a2/training_configuration.json
ADDED
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@@ -0,0 +1,38 @@
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| 35 |
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"output_dir": "./experiment_results/TinyLlama_v1.1-mars-opt3-q4-new/TinyLlama_v1.1-mars-logiqa-r2-a2",
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"timestamp": "2025-08-29T15:14:52.117394"
|
| 38 |
+
}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r2-a2/training_logs.json
ADDED
|
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|
|
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r8-a2/adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
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|
|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"alpha": 16,
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama_v1.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"enabled_mlp": true,
|
| 7 |
+
"enabled_qkv": [
|
| 8 |
+
"q",
|
| 9 |
+
"k",
|
| 10 |
+
"v"
|
| 11 |
+
],
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": false,
|
| 14 |
+
"layers_pattern": null,
|
| 15 |
+
"layers_to_transform": null,
|
| 16 |
+
"mixture": false,
|
| 17 |
+
"modules_to_preserve_errors": null,
|
| 18 |
+
"modules_to_quantize": null,
|
| 19 |
+
"modules_to_save": null,
|
| 20 |
+
"onnx_export": false,
|
| 21 |
+
"optimization_level": 3,
|
| 22 |
+
"orthogonal_init": false,
|
| 23 |
+
"peft_type": "MARS",
|
| 24 |
+
"quant_n_bits": 4,
|
| 25 |
+
"r": 8,
|
| 26 |
+
"revision": null,
|
| 27 |
+
"seed": 42,
|
| 28 |
+
"shared_r": 8,
|
| 29 |
+
"target_modules": [
|
| 30 |
+
"o_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"down_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
+
"up_proj",
|
| 36 |
+
"q_proj"
|
| 37 |
+
],
|
| 38 |
+
"task_type": null
|
| 39 |
+
}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r8-a2/eval_results.json
ADDED
|
@@ -0,0 +1,4 @@
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"task": "logiqa",
|
| 3 |
+
"results": 0.40921297252633754
|
| 4 |
+
}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r8-a2/training_configuration.json
ADDED
|
@@ -0,0 +1,38 @@
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "TinyLlama/TinyLlama_v1.1",
|
| 3 |
+
"dataset": {
|
| 4 |
+
"name": "LOGIQA",
|
| 5 |
+
"dataset_id": "data/logiqa_train",
|
| 6 |
+
"preprocess_id": "logiqa_train_deepeval"
|
| 7 |
+
},
|
| 8 |
+
"peft_config": {
|
| 9 |
+
"method": "mars",
|
| 10 |
+
"rank": 8,
|
| 11 |
+
"alpha": 16,
|
| 12 |
+
"dropout": 0.0,
|
| 13 |
+
"bias": "none",
|
| 14 |
+
"target_modules": [
|
| 15 |
+
"q_proj",
|
| 16 |
+
"k_proj",
|
| 17 |
+
"v_proj",
|
| 18 |
+
"o_proj",
|
| 19 |
+
"gate_proj",
|
| 20 |
+
"down_proj",
|
| 21 |
+
"up_proj"
|
| 22 |
+
],
|
| 23 |
+
"trainable_parameter_count": 5233536
|
| 24 |
+
},
|
| 25 |
+
"training_config": {
|
| 26 |
+
"max_dataset_length": null,
|
| 27 |
+
"batch_size": 64,
|
| 28 |
+
"per_device_batch_size": 32,
|
| 29 |
+
"gradient_accumulation_steps": 2,
|
| 30 |
+
"learning_rate": 0.0003,
|
| 31 |
+
"num_epochs": 3,
|
| 32 |
+
"warmup_ratio": 0.1
|
| 33 |
+
},
|
| 34 |
+
"model_name": "TinyLlama_v1.1-mars-logiqa-r8-a2",
|
| 35 |
+
"output_dir": "./experiment_results/TinyLlama_v1.1-mars-opt3-q4-new/TinyLlama_v1.1-mars-logiqa-r8-a2",
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"timestamp": "2025-08-29T22:21:48.612520"
|
| 38 |
+
}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-logiqa-r8-a2/training_logs.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r32-a2/adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
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|
|
| 1 |
+
{
|
| 2 |
+
"alpha": 64,
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama_v1.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"enabled_mlp": true,
|
| 7 |
+
"enabled_qkv": [
|
| 8 |
+
"q",
|
| 9 |
+
"k",
|
| 10 |
+
"v"
|
| 11 |
+
],
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": false,
|
| 14 |
+
"layers_pattern": null,
|
| 15 |
+
"layers_to_transform": null,
|
| 16 |
+
"mixture": false,
|
| 17 |
+
"modules_to_preserve_errors": null,
|
| 18 |
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"modules_to_quantize": null,
|
| 19 |
+
"modules_to_save": null,
|
| 20 |
+
"onnx_export": false,
|
| 21 |
+
"optimization_level": 3,
|
| 22 |
+
"orthogonal_init": false,
|
| 23 |
+
"peft_type": "MARS",
|
| 24 |
+
"quant_n_bits": 4,
|
| 25 |
+
"r": 32,
|
| 26 |
+
"revision": null,
|
| 27 |
+
"seed": 42,
|
| 28 |
+
"shared_r": 32,
|
| 29 |
+
"target_modules": [
|
| 30 |
+
"o_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"down_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
+
"up_proj",
|
| 36 |
+
"q_proj"
|
| 37 |
+
],
|
| 38 |
+
"task_type": null
|
| 39 |
+
}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r32-a2/eval_results.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"task": "winogrande",
|
| 3 |
+
"results": 0.516179952644041
|
| 4 |
+
}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r32-a2/training_configuration.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "TinyLlama/TinyLlama_v1.1",
|
| 3 |
+
"dataset": {
|
| 4 |
+
"name": "WINOGRANDE",
|
| 5 |
+
"dataset_id": "allenai/winogrande",
|
| 6 |
+
"preprocess_id": "winogrande_train_deepeval"
|
| 7 |
+
},
|
| 8 |
+
"peft_config": {
|
| 9 |
+
"method": "mars",
|
| 10 |
+
"rank": 32,
|
| 11 |
+
"alpha": 64,
|
| 12 |
+
"dropout": 0.0,
|
| 13 |
+
"bias": "none",
|
| 14 |
+
"target_modules": [
|
| 15 |
+
"q_proj",
|
| 16 |
+
"k_proj",
|
| 17 |
+
"v_proj",
|
| 18 |
+
"o_proj",
|
| 19 |
+
"gate_proj",
|
| 20 |
+
"down_proj",
|
| 21 |
+
"up_proj"
|
| 22 |
+
],
|
| 23 |
+
"trainable_parameter_count": 21018624
|
| 24 |
+
},
|
| 25 |
+
"training_config": {
|
| 26 |
+
"max_dataset_length": null,
|
| 27 |
+
"batch_size": 64,
|
| 28 |
+
"per_device_batch_size": 32,
|
| 29 |
+
"gradient_accumulation_steps": 2,
|
| 30 |
+
"learning_rate": 0.0003,
|
| 31 |
+
"num_epochs": 4,
|
| 32 |
+
"warmup_ratio": 0.1
|
| 33 |
+
},
|
| 34 |
+
"model_name": "TinyLlama_v1.1-mars-winogrande-r32-a2",
|
| 35 |
+
"output_dir": "./experiment_results/TinyLlama_v1.1-mars-opt3-q4-new/TinyLlama_v1.1-mars-winogrande-r32-a2",
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"timestamp": "2025-08-30T08:10:27.000811"
|
| 38 |
+
}
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r32-a2/training_logs.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
TinyLlama_v1.1-mars-opt0-q4/TinyLlama_v1.1-mars-winogrande-r8-a2/training_configuration.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model_id": "TinyLlama/TinyLlama_v1.1",
|
| 3 |
+
"dataset": {
|
| 4 |
+
"name": "WINOGRANDE",
|
| 5 |
+
"dataset_id": "allenai/winogrande",
|
| 6 |
+
"preprocess_id": "winogrande_train_deepeval"
|
| 7 |
+
},
|
| 8 |
+
"peft_config": {
|
| 9 |
+
"method": "mars",
|
| 10 |
+
"rank": 8,
|
| 11 |
+
"alpha": 16,
|
| 12 |
+
"dropout": 0.0,
|
| 13 |
+
"bias": "none",
|
| 14 |
+
"target_modules": [
|
| 15 |
+
"q_proj",
|
| 16 |
+
"k_proj",
|
| 17 |
+
"v_proj",
|
| 18 |
+
"o_proj",
|
| 19 |
+
"gate_proj",
|
| 20 |
+
"down_proj",
|
| 21 |
+
"up_proj"
|
| 22 |
+
],
|
| 23 |
+
"trainable_parameter_count": 5233536
|
| 24 |
+
},
|
| 25 |
+
"training_config": {
|
| 26 |
+
"max_dataset_length": null,
|
| 27 |
+
"batch_size": 64,
|
| 28 |
+
"per_device_batch_size": 32,
|
| 29 |
+
"gradient_accumulation_steps": 2,
|
| 30 |
+
"learning_rate": 0.0003,
|
| 31 |
+
"num_epochs": 4,
|
| 32 |
+
"warmup_ratio": 0.1
|
| 33 |
+
},
|
| 34 |
+
"model_name": "TinyLlama_v1.1-mars-winogrande-r8-a2",
|
| 35 |
+
"output_dir": "./experiment_results/TinyLlama_v1.1-mars-opt3-q4-new/TinyLlama_v1.1-mars-winogrande-r8-a2",
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"timestamp": "2025-08-30T01:04:10.381088"
|
| 38 |
+
}
|
TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2/adapter_config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha": 4,
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama_v1.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"enabled_mlp": true,
|
| 7 |
+
"enabled_qkv": [
|
| 8 |
+
"q",
|
| 9 |
+
"k",
|
| 10 |
+
"v"
|
| 11 |
+
],
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": false,
|
| 14 |
+
"layers_pattern": null,
|
| 15 |
+
"layers_to_transform": null,
|
| 16 |
+
"mixture": false,
|
| 17 |
+
"modules_to_preserve_errors": null,
|
| 18 |
+
"modules_to_quantize": null,
|
| 19 |
+
"modules_to_save": null,
|
| 20 |
+
"onnx_export": false,
|
| 21 |
+
"optimization_level": 0,
|
| 22 |
+
"orthogonal_init": false,
|
| 23 |
+
"peft_type": "MARS",
|
| 24 |
+
"quant_n_bits": 8,
|
| 25 |
+
"r": 2,
|
| 26 |
+
"revision": null,
|
| 27 |
+
"seed": 42,
|
| 28 |
+
"shared_r": 2,
|
| 29 |
+
"target_modules": [
|
| 30 |
+
"down_proj",
|
| 31 |
+
"o_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"up_proj",
|
| 35 |
+
"v_proj",
|
| 36 |
+
"k_proj"
|
| 37 |
+
],
|
| 38 |
+
"task_type": null,
|
| 39 |
+
"use_bnb": true
|
| 40 |
+
}
|
TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2/eval_results.json
ADDED
|
@@ -0,0 +1,4 @@
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| 1 |
+
{
|
| 2 |
+
"task": "arc_c",
|
| 3 |
+
"results": 0.6322525597269625
|
| 4 |
+
}
|
TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2/training_configuration.json
ADDED
|
@@ -0,0 +1,38 @@
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| 1 |
+
{
|
| 2 |
+
"model_id": "TinyLlama/TinyLlama_v1.1",
|
| 3 |
+
"dataset": {
|
| 4 |
+
"name": "ARC_C",
|
| 5 |
+
"dataset_id": "allenai/ai2_arc",
|
| 6 |
+
"preprocess_id": "arc_train_deepeval"
|
| 7 |
+
},
|
| 8 |
+
"peft_config": {
|
| 9 |
+
"method": "qmars",
|
| 10 |
+
"rank": 2,
|
| 11 |
+
"alpha": 4,
|
| 12 |
+
"dropout": 0.0,
|
| 13 |
+
"bias": "none",
|
| 14 |
+
"target_modules": [
|
| 15 |
+
"q_proj",
|
| 16 |
+
"k_proj",
|
| 17 |
+
"v_proj",
|
| 18 |
+
"o_proj",
|
| 19 |
+
"gate_proj",
|
| 20 |
+
"down_proj",
|
| 21 |
+
"up_proj"
|
| 22 |
+
],
|
| 23 |
+
"trainable_parameter_count": 1307064
|
| 24 |
+
},
|
| 25 |
+
"training_config": {
|
| 26 |
+
"max_dataset_length": null,
|
| 27 |
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"batch_size": 64,
|
| 28 |
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"per_device_batch_size": 32,
|
| 29 |
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"gradient_accumulation_steps": 2,
|
| 30 |
+
"learning_rate": 0.0003,
|
| 31 |
+
"num_epochs": 4,
|
| 32 |
+
"warmup_ratio": 0.1
|
| 33 |
+
},
|
| 34 |
+
"model_name": "TinyLlama_v1.1-qmars-arc_c-r2-a2",
|
| 35 |
+
"output_dir": "./experiment_results/TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2",
|
| 36 |
+
"seed": 42,
|
| 37 |
+
"timestamp": "2025-09-02T08:46:32.040412"
|
| 38 |
+
}
|
TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r2-a2/training_logs.json
ADDED
|
@@ -0,0 +1,625 @@
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| 1 |
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r32-a2/adapter_config.json
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r32-a2/eval_results.json
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r32-a2/training_configuration.json
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r32-a2/training_logs.json
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r8-a2/adapter_config.json
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r8-a2/eval_results.json
ADDED
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r8-a2/training_configuration.json
ADDED
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_c-r8-a2/training_logs.json
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TinyLlama_v1.1-qmars/TinyLlama_v1.1-qmars-arc_e-r32-a2/adapter_config.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"alpha": 64,
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama_v1.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"enabled_mlp": true,
|
| 7 |
+
"enabled_qkv": [
|
| 8 |
+
"q",
|
| 9 |
+
"k",
|
| 10 |
+
"v"
|
| 11 |
+
],
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": false,
|
| 14 |
+
"layers_pattern": null,
|
| 15 |
+
"layers_to_transform": null,
|
| 16 |
+
"mixture": false,
|
| 17 |
+
"modules_to_preserve_errors": null,
|
| 18 |
+
"modules_to_quantize": null,
|
| 19 |
+
"modules_to_save": null,
|
| 20 |
+
"onnx_export": false,
|
| 21 |
+
"optimization_level": 0,
|
| 22 |
+
"orthogonal_init": false,
|
| 23 |
+
"peft_type": "MARS",
|
| 24 |
+
"quant_n_bits": 8,
|
| 25 |
+
"r": 32,
|
| 26 |
+
"revision": null,
|
| 27 |
+
"seed": 42,
|
| 28 |
+
"shared_r": 32,
|
| 29 |
+
"target_modules": [
|
| 30 |
+
"down_proj",
|
| 31 |
+
"o_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"up_proj",
|
| 35 |
+
"v_proj",
|
| 36 |
+
"k_proj"
|
| 37 |
+
],
|
| 38 |
+
"task_type": null,
|
| 39 |
+
"use_bnb": true
|
| 40 |
+
}
|