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Gemma2b-APPS
Browse files- README.md +30 -1
- training_args.bin +1 -1
README.md
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# Gemma2b-APPS
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) 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_steps: 100
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- training_steps:
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### Training results
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### Framework versions
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# Gemma2b-APPS
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2944
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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_steps: 100
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- training_steps: 2500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.2046 | 0.04 | 100 | 1.2184 |
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| 1.0393 | 0.08 | 200 | 1.1178 |
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| 1.064 | 0.12 | 300 | 1.1963 |
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| 1.0558 | 0.16 | 400 | 1.2121 |
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| 0.9774 | 0.2 | 500 | 1.1823 |
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| 1.0325 | 0.24 | 600 | 1.1829 |
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| 1.0572 | 0.28 | 700 | 1.1875 |
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| 0.9972 | 0.32 | 800 | 1.1901 |
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| 0.9901 | 0.36 | 900 | 1.2049 |
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| 1.0587 | 0.4 | 1000 | 1.2187 |
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| 1.0643 | 0.44 | 1100 | 1.2270 |
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| 1.1095 | 0.48 | 1200 | 1.2266 |
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| 1.0179 | 0.52 | 1300 | 1.2468 |
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| 1.0581 | 0.56 | 1400 | 1.2480 |
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| 1.0722 | 0.6 | 1500 | 1.2642 |
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| 1.1467 | 0.64 | 1600 | 1.2622 |
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| 1.0536 | 0.68 | 1700 | 1.2816 |
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| 1.0757 | 0.72 | 1800 | 1.2840 |
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| 1.1504 | 0.76 | 1900 | 1.2884 |
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| 1.1494 | 0.8 | 2000 | 1.2870 |
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| 1.1206 | 0.84 | 2100 | 1.2888 |
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| 1.0454 | 0.88 | 2200 | 1.2938 |
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| 1.1487 | 0.92 | 2300 | 1.2944 |
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| 1.1521 | 0.96 | 2400 | 1.2945 |
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| 1.1155 | 1.0 | 2500 | 1.2944 |
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### Framework versions
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 4792
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version https://git-lfs.github.com/spec/v1
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oid sha256:64b99def95b4443ef812418a00edbb682e9fcd536a93b32edf5a854f565c371a
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size 4792
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