End of training
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README.md
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This model is a fine-tuned version of [ahxt/LiteLlama-460M-1T](https://huggingface.co/ahxt/LiteLlama-460M-1T) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [ahxt/LiteLlama-460M-1T](https://huggingface.co/ahxt/LiteLlama-460M-1T) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0471
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.1747 | 0.8 | 25 | 3.9257 |
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| 3.626 | 1.6 | 50 | 3.2474 |
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| 2.8441 | 2.4 | 75 | 2.4490 |
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| 2.3365 | 3.2 | 100 | 2.2482 |
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| 2.2153 | 4.0 | 125 | 2.1758 |
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| 2.1591 | 4.8 | 150 | 2.1316 |
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| 2.1214 | 5.6 | 175 | 2.1011 |
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| 2.0946 | 6.4 | 200 | 2.0781 |
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| 2.0818 | 7.2 | 225 | 2.0622 |
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| 2.0614 | 8.0 | 250 | 2.0528 |
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| 2.0571 | 8.8 | 275 | 2.0485 |
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| 2.0522 | 9.6 | 300 | 2.0471 |
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### Framework versions
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runs/Aug03_09-18-38_fastgpuserv/events.out.tfevents.1722690531.fastgpuserv.2914688.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:01f6462e33b14e20a451c94459665f31bb87ad7d037deac0f025e8b117299d64
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size 359
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