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color_descriptions
Browse files- README.md +26 -1
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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# results
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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 an unknown dataset.
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## Model description
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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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- lr_scheduler_warmup_ratio: 0.03
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### Training results
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### Framework versions
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# results
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5881
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## Model description
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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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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.6511 | 0.0948 | 50 | 0.7913 |
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| 0.5479 | 0.1896 | 100 | 0.7001 |
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| 0.5125 | 0.2844 | 150 | 0.6768 |
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| 0.4974 | 0.3791 | 200 | 0.6564 |
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| 0.4947 | 0.4739 | 250 | 0.6490 |
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| 0.4802 | 0.5687 | 300 | 0.6383 |
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| 0.4762 | 0.6635 | 350 | 0.6289 |
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| 0.4678 | 0.7583 | 400 | 0.6233 |
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| 0.4742 | 0.8531 | 450 | 0.6157 |
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| 0.4633 | 0.9479 | 500 | 0.6127 |
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| 0.6096 | 1.0427 | 550 | 0.6027 |
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| 0.6137 | 1.1374 | 600 | 0.5986 |
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| 0.6163 | 1.2322 | 650 | 0.5963 |
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| 0.6078 | 1.3270 | 700 | 0.5943 |
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| 0.6019 | 1.4218 | 750 | 0.5921 |
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| 0.615 | 1.5166 | 800 | 0.5906 |
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| 0.6061 | 1.6114 | 850 | 0.5897 |
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| 0.6106 | 1.7062 | 900 | 0.5890 |
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| 0.6027 | 1.8009 | 950 | 0.5886 |
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| 0.6094 | 1.8957 | 1000 | 0.5883 |
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| 0.5261 | 1.9905 | 1050 | 0.5881 |
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### Framework versions
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 57701064
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size 57701064
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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