Model save
Browse files- README.md +8 -6
- adapter_model.safetensors +1 -1
- all_results.json +9 -9
- eval_results.json +5 -5
- runs/Jan20_09-47-06_98f107f1aa39/events.out.tfevents.1705744129.98f107f1aa39.59272.0 +2 -2
- runs/Jan20_09-47-06_98f107f1aa39/events.out.tfevents.1705747380.98f107f1aa39.59272.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +74 -40
README.md
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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 generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 20
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- total_train_batch_size:
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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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- num_epochs: 1
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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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 generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2243
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 6
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- eval_batch_size: 3
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 20
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- total_train_batch_size: 120
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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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- num_epochs: 1
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.3384 | 0.24 | 10 | 1.2810 |
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| 1.2633 | 0.47 | 20 | 1.2418 |
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| 1.2495 | 0.71 | 30 | 1.2277 |
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| 1.2291 | 0.94 | 40 | 1.2244 |
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### Framework versions
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adapter_model.safetensors
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