End of training
Browse files- README.md +82 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +5 -0
- all_results.json +15 -0
- eval_results.json +15 -0
- merges.txt +0 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: Qwen/Qwen2-0.5B-Instruct
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: dpo-model-lora
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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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# dpo-model-lora
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This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6534
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- Rewards/chosen: -0.7320
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- Rewards/rejected: -0.8303
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- Rewards/accuracies: 0.6172
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- Rewards/margins: 0.0983
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- Logps/rejected: -359.0921
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- Logps/chosen: -378.4928
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- Logits/rejected: -2.2715
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- Logits/chosen: -2.3471
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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: 5e-06
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- train_batch_size: 4
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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: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.6884 | 0.1030 | 50 | 0.6879 | -0.0543 | -0.0734 | 0.6484 | 0.0191 | -351.5229 | -371.7161 | -2.2877 | -2.3628 |
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| 0.6787 | 0.2060 | 100 | 0.6770 | -0.1811 | -0.2114 | 0.6016 | 0.0303 | -352.9030 | -372.9836 | -2.2815 | -2.3565 |
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| 0.6721 | 0.3090 | 150 | 0.6721 | -0.2679 | -0.3094 | 0.6562 | 0.0415 | -353.8831 | -373.8524 | -2.2782 | -2.3536 |
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| 0.6668 | 0.4119 | 200 | 0.6665 | -0.4037 | -0.4625 | 0.6016 | 0.0588 | -355.4139 | -375.2100 | -2.2758 | -2.3515 |
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| 0.6597 | 0.5149 | 250 | 0.6612 | -0.4907 | -0.5505 | 0.6172 | 0.0598 | -356.2946 | -376.0805 | -2.2757 | -2.3510 |
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| 0.6581 | 0.6179 | 300 | 0.6578 | -0.6137 | -0.6975 | 0.625 | 0.0838 | -357.7639 | -377.3098 | -2.2736 | -2.3491 |
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| 0.6536 | 0.7209 | 350 | 0.6556 | -0.6458 | -0.7367 | 0.6328 | 0.0909 | -358.1565 | -377.6311 | -2.2732 | -2.3489 |
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| 0.6486 | 0.8239 | 400 | 0.6556 | -0.7025 | -0.7958 | 0.6328 | 0.0933 | -358.7473 | -378.1981 | -2.2737 | -2.3493 |
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| 0.649 | 0.9269 | 450 | 0.6556 | -0.7432 | -0.8327 | 0.6484 | 0.0896 | -359.1166 | -378.6048 | -2.2726 | -2.3482 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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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": "Qwen/Qwen2-0.5B-Instruct",
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"bias": "none",
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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_dropout": 0.05,
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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": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:79b8f24518a887f72a89f523c1d25e75dd3eb31abb012ab29d9d71197edaa659
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size 8663400
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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all_results.json
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{
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"epoch": 0.9989701338825953,
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"eval_logits/chosen": -2.3471405506134033,
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"eval_logits/rejected": -2.2715110778808594,
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"eval_logps/chosen": -378.4928283691406,
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"eval_logps/rejected": -359.0921325683594,
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"eval_loss": 0.6533845067024231,
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"eval_rewards/accuracies": 0.6171875,
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"eval_rewards/chosen": -0.7319744229316711,
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"eval_rewards/margins": 0.09831348061561584,
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"eval_rewards/rejected": -0.8302878737449646,
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"eval_runtime": 2.1287,
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"eval_samples_per_second": 469.776,
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"eval_steps_per_second": 7.516
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}
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eval_results.json
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{
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"epoch": 0.9989701338825953,
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"eval_logits/chosen": -2.3471405506134033,
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"eval_logits/rejected": -2.2715110778808594,
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"eval_logps/chosen": -378.4928283691406,
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"eval_logps/rejected": -359.0921325683594,
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"eval_loss": 0.6533845067024231,
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"eval_rewards/accuracies": 0.6171875,
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"eval_rewards/chosen": -0.7319744229316711,
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"eval_rewards/margins": 0.09831348061561584,
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"eval_rewards/rejected": -0.8302878737449646,
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"eval_runtime": 2.1287,
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"eval_samples_per_second": 469.776,
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"eval_steps_per_second": 7.516
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}
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merges.txt
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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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],
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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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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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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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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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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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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0dbfc76c19aa63e0245b5d5fb04969b3bd90615f0365aefa098d375c76d927f
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size 5944
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vocab.json
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