Model save
Browse files- README.md +75 -0
- all_results.json +8 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- train_results.json +8 -0
- trainer_state.json +573 -0
README.md
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---
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license: apache-2.0
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base_model: Minbyul/mistral-7b-wo-live_qa-sft
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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: mistral-7b-dpo-full-sft-wo-live_qa
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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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# mistral-7b-dpo-full-sft-wo-live_qa
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This model is a fine-tuned version of [Minbyul/mistral-7b-wo-live_qa-sft](https://huggingface.co/Minbyul/mistral-7b-wo-live_qa-sft) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0468
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- Rewards/chosen: -0.7745
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- Rewards/rejected: -14.5125
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- Rewards/accuracies: 0.875
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- Rewards/margins: 13.7379
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- Logps/rejected: -2051.7014
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- Logps/chosen: -168.0429
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- Logits/rejected: -1.5809
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- Logits/chosen: -1.9182
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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-07
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- train_batch_size: 8
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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: 2
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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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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| 0.2894 | 0.3 | 100 | 0.2025 | -0.2133 | -2.0069 | 0.875 | 1.7935 | -801.1411 | -111.9223 | -2.6944 | -2.4093 |
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| 0.1355 | 0.61 | 200 | 0.0506 | -0.8364 | -12.1329 | 0.875 | 11.2965 | -1813.7421 | -174.2286 | -1.5654 | -1.9005 |
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| 0.0848 | 0.91 | 300 | 0.0468 | -0.7745 | -14.5125 | 0.875 | 13.7379 | -2051.7014 | -168.0429 | -1.5809 | -1.9182 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.23545521443209996,
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"train_runtime": 6883.5239,
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"train_samples": 20968,
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"train_samples_per_second": 3.046,
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"train_steps_per_second": 0.048
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.39.0.dev0"
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}
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model-00001-of-00003.safetensors
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size 4943162336
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model.safetensors.index.json
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