End of training
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README.md
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---
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license: openrail
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tags:
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- generated_from_trainer
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model-index:
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- name: santacoder-finetuned-the-stack-bash-3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# santacoder-finetuned-the-stack-bash-3
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This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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: 5000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0 | 0.1 | 500 | nan |
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| 0.0 | 0.2 | 1000 | nan |
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| 0.0 | 0.3 | 1500 | nan |
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| 0.0 | 0.4 | 2000 | nan |
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| 0.0 | 0.5 | 2500 | nan |
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| 0.0 | 0.6 | 3000 | nan |
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| 0.0 | 0.7 | 3500 | nan |
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| 0.0 | 0.8 | 4000 | nan |
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| 0.0 | 0.9 | 4500 | nan |
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| 0.0 | 1.0 | 5000 | nan |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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runs/Jan21_23-55-41_f514b3bf11d1/events.out.tfevents.1674345368.f514b3bf11d1.297.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:c44d78deb36d6ece3c093f6e89e28eea773ee9d7b93cf7087b0820b9f18c1a81
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size 85662
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