Delete qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36
Browse files- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/README.md +0 -61
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/adapter_config.json +0 -39
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/adapter_model.safetensors +0 -3
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/added_tokens.json +0 -5
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/all_results.json +0 -9
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/merges.txt +0 -0
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/special_tokens_map.json +0 -20
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/tokenizer.json +0 -3
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/tokenizer_config.json +0 -44
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/train_results.json +0 -9
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/trainer_log.jsonl +0 -38
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/trainer_state.json +0 -339
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/training_args.bin +0 -3
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/training_loss.png +0 -0
- qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/vocab.json +0 -0
qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/README.md
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---
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library_name: peft
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license: other
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base_model: /data/kcl/myt/Qwen2-7B-Instruct
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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model-index:
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- name: qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36
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This model is a fine-tuned version of [/data/kcl/myt/Qwen2-7B-Instruct](https://huggingface.co//data/kcl/myt/Qwen2-7B-Instruct) on the SafeEdit_train dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- PEFT 0.15.1
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- Transformers 4.45.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.20.3
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/data/kcl/myt/Qwen2-7B-Instruct",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"v_proj",
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"q_proj",
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"up_proj",
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"o_proj",
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"down_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/adapter_model.safetensors
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size 40422208
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/added_tokens.json
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{
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"<|endoftext|>": 151643,
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/all_results.json
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{
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"epoch": 2.9822485207100593,
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"num_input_tokens_seen": 6773184,
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"total_flos": 316290046623744.0,
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"train_loss": 1.2503274256590182,
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"train_runtime": 2924.7101,
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"train_samples_per_second": 4.154,
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"train_steps_per_second": 0.065
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}
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/merges.txt
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"pad_token": {
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/tokenizer.json
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size 11418266
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"special": true
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"151644": {
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"content": "<|im_start|>",
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"special": true
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}
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},
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": null,
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"errors": "replace",
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/train_results.json
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{
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"epoch": 2.9822485207100593,
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"total_flos": 316290046623744.0,
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"train_loss": 1.2503274256590182,
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"train_samples_per_second": 4.154,
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"train_steps_per_second": 0.065
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}
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qwen2-7b-instruct_refusal-sft-lora_v1_2025-09-26-03-11-36/trainer_log.jsonl
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{"current_steps": 5, "total_steps": 189, "loss": 1.6681, "lr": 9.982741376606077e-06, "epoch": 0.07889546351084813, "percentage": 2.65, "elapsed_time": "0:01:27", "remaining_time": "0:53:56", "throughput": 2031.39, "total_tokens": 178672}
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{"current_steps": 10, "total_steps": 189, "loss": 1.6603, "lr": 9.931084650456892e-06, "epoch": 0.15779092702169625, "percentage": 5.29, "elapsed_time": "0:02:43", "remaining_time": "0:48:40", "throughput": 2200.31, "total_tokens": 358944}
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{"current_steps": 15, "total_steps": 189, "loss": 1.6342, "lr": 9.84538643114539e-06, "epoch": 0.23668639053254437, "percentage": 7.94, "elapsed_time": "0:03:59", "remaining_time": "0:46:22", "throughput": 2245.31, "total_tokens": 538544}
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{"current_steps": 20, "total_steps": 189, "loss": 1.6051, "lr": 9.726238331988625e-06, "epoch": 0.3155818540433925, "percentage": 10.58, "elapsed_time": "0:05:14", "remaining_time": "0:44:20", "throughput": 2258.92, "total_tokens": 711280}
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{"current_steps": 25, "total_steps": 189, "loss": 1.5336, "lr": 9.574462885855173e-06, "epoch": 0.39447731755424065, "percentage": 13.23, "elapsed_time": "0:06:32", "remaining_time": "0:42:51", "throughput": 2271.47, "total_tokens": 890528}
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{"current_steps": 30, "total_steps": 189, "loss": 1.4808, "lr": 9.391107866851143e-06, "epoch": 0.47337278106508873, "percentage": 15.87, "elapsed_time": "0:07:46", "remaining_time": "0:41:13", "throughput": 2282.1, "total_tokens": 1064976}
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{"current_steps": 35, "total_steps": 189, "loss": 1.4176, "lr": 9.177439057064684e-06, "epoch": 0.5522682445759369, "percentage": 18.52, "elapsed_time": "0:09:03", "remaining_time": "0:39:49", "throughput": 2287.6, "total_tokens": 1242464}
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