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--- |
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license: other |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: opt-2.7b-realtime-chat-v2 |
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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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# opt-2.7b-realtime-chat-v2 |
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This model is a fine-tuned version of [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0888 |
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- Accuracy: 0.6870 |
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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: 128 |
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- total_train_batch_size: 128 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.0974 | 0.5 | 51 | 2.1267 | 0.6826 | |
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| 2.0842 | 1.0 | 102 | 2.0968 | 0.6859 | |
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| 1.9624 | 1.49 | 153 | 2.0936 | 0.6863 | |
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| 1.9476 | 1.99 | 204 | 2.0888 | 0.6870 | |
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| 1.888 | 2.49 | 255 | 2.0993 | 0.6864 | |
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| 1.8687 | 2.99 | 306 | 2.0994 | 0.6865 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.7.1 |
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- Tokenizers 0.12.1 |
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