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--- |
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license: apache-2.0 |
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T |
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tags: |
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- summarization |
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- generated_from_trainer |
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model-index: |
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- name: sft-sum-chosen-10lp-shuff-full-tiny_same_params |
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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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# sft-sum-chosen-10lp-shuff-full-tiny_same_params |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the martimfasantos/openai-summarize-tldr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8887 |
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- Nll Loss: 1.8968 |
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- Logps/best: -71.1814 |
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- Rewards/chosen: 2.2080 |
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- Rewards/rejected: -0.6886 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 2.8966 |
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- Logps/rejected: -14.2972 |
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- Logps/chosen: -71.1814 |
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- Logits/rejected: -3.0553 |
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- Logits/chosen: -3.4224 |
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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: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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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 | Nll Loss | Logps/best | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 1.9469 | 0.2193 | 800 | 1.9582 | 1.9648 | -73.7246 | 1.9537 | -0.4240 | 1.0 | 2.3777 | -11.6512 | -73.7246 | -2.7987 | -3.1275 | |
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| 1.9813 | 0.4386 | 1600 | 1.9285 | 1.9369 | -72.6769 | 2.0585 | -0.5023 | 1.0 | 2.5607 | -12.4339 | -72.6769 | -2.9393 | -3.2910 | |
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| 1.9215 | 0.6579 | 2400 | 1.9049 | 1.9127 | -71.7733 | 2.1488 | -0.5719 | 1.0 | 2.7207 | -13.1300 | -71.7733 | -3.0198 | -3.3812 | |
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| 1.8655 | 0.8772 | 3200 | 1.8887 | 1.8968 | -71.1814 | 2.2080 | -0.6886 | 1.0 | 2.8966 | -14.2972 | -71.1814 | -3.0553 | -3.4224 | |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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