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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- data/ui_math |
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- data/ui_coding |
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model-index: |
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- name: tinyllama-1.1b-chat-v1.0-ui-math-coding-dpo-2 |
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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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# tinyllama-1.1b-chat-v1.0-ui-math-coding-dpo-2 |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the data/ui_math and the data/ui_coding datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3362 |
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- Rewards/chosen: -3.2340 |
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- Rewards/rejected: -7.1489 |
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- Rewards/accuracies: 0.875 |
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- Rewards/margins: 3.9149 |
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- Logps/rejected: -1058.2659 |
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- Logps/chosen: -682.5323 |
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- Logits/rejected: -1.3117 |
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- Logits/chosen: -1.3352 |
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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: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 2 |
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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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| 0.2293 | 1.2210 | 1000 | 0.3224 | -3.3080 | -7.0491 | 0.9062 | 3.7411 | -1048.2871 | -689.9403 | -1.4398 | -1.4575 | |
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### Framework versions |
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- Transformers 4.44.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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