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--- |
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license: mit |
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base_model: EleutherAI/gpt-neo-125M |
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tags: |
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- generated_from_trainer |
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datasets: |
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- daily_dialog |
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model-index: |
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- name: gpt-neo-daily-dialog |
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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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# gpt-neo-daily-dialog |
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on the daily_dialog dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3630 |
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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: 3e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.5578 | 0.1799 | 500 | 2.5389 | |
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| 2.4489 | 0.3598 | 1000 | 2.4848 | |
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| 2.4904 | 0.5397 | 1500 | 2.4453 | |
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| 2.3967 | 0.7196 | 2000 | 2.4236 | |
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| 2.4108 | 0.8994 | 2500 | 2.4042 | |
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| 2.2683 | 1.0793 | 3000 | 2.3939 | |
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| 2.2068 | 1.2592 | 3500 | 2.3849 | |
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| 2.2195 | 1.4391 | 4000 | 2.3798 | |
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| 2.2381 | 1.6190 | 4500 | 2.3709 | |
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| 2.241 | 1.7989 | 5000 | 2.3647 | |
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| 2.2108 | 1.9788 | 5500 | 2.3630 | |
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### Framework versions |
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- Transformers 4.42.4 |
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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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