Commit
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End of training
Browse files- README.md +7 -3
- model.safetensors +1 -1
- runs/Jan03_13-21-43_Noah-Desktop/events.out.tfevents.1704309706.Noah-Desktop.16252.0 +2 -2
- runs/Jan03_13-35-04_Noah-Desktop/events.out.tfevents.1704310507.Noah-Desktop.7340.0 +3 -0
- runs/Jan03_13-37-14_Noah-Desktop/events.out.tfevents.1704310637.Noah-Desktop.7180.0 +3 -0
- runs/Jan03_13-37-14_Noah-Desktop/events.out.tfevents.1704312119.Noah-Desktop.7180.1 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.
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## Model description
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.
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### Framework versions
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This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3252
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## Model description
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_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: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.6617 | 0.99 | 50 | 3.5323 |
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| 3.4191 | 1.99 | 101 | 3.3614 |
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| 3.3489 | 2.96 | 150 | 3.3252 |
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### Framework versions
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model.safetensors
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training_args.bin
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