End of training

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model-index:
+- name: Mistral-7B-Instruct-v0.2-binary_base03
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Mistral-7B-Instruct-v0.2-binary_base03
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2790
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2.5e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5198        | 0.04  | 50   | 0.6078          |
+| 0.5143        | 0.08  | 100  | 0.4729          |
+| 0.4187        | 0.12  | 150  | 0.3775          |
+| 0.3533        | 0.16  | 200  | 0.3413          |
+| 0.3344        | 0.2   | 250  | 0.3247          |
+| 0.322         | 0.24  | 300  | 0.3184          |
+| 0.3129        | 0.28  | 350  | 0.3106          |
+| 0.3062        | 0.32  | 400  | 0.3032          |
+| 0.2985        | 0.36  | 450  | 0.2989          |
+| 0.301         | 0.4   | 500  | 0.2949          |
+| 0.2934        | 0.44  | 550  | 0.2933          |
+| 0.2921        | 0.48  | 600  | 0.2914          |
+| 0.2874        | 0.52  | 650  | 0.2882          |
+| 0.2863        | 0.56  | 700  | 0.2875          |
+| 0.284         | 0.6   | 750  | 0.2841          |
+| 0.2841        | 0.64  | 800  | 0.2829          |
+| 0.2797        | 0.68  | 850  | 0.2818          |
+| 0.2815        | 0.72  | 900  | 0.2804          |
+| 0.2835        | 0.76  | 950  | 0.2790          |
+| 0.2777        | 0.8   | 1000 | 0.2790          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

@@ -0,0 +1,33 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "v_proj",
+    "lm_head",
+    "gate_proj",
+    "k_proj",
+    "up_proj",
+    "q_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4258dc0bda3b7c9c42079fe75b5e097dfe17fd0f7a455b55492adc7a768c752c
+size 1204678496

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a37fb97936a257eafd061f0ada7a991f5b86a2b4de67f1a7e024e2a878fab03
+size 4664