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hellonet22
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codeparrot-ds

Text Generation
Transformers
TensorBoard
Safetensors
hgrn_bit
Generated from Trainer
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xet
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hellonet22 commited on
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End of training

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  1. README.md +17 -16
README.md CHANGED
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3380
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  ## Model description
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@@ -48,24 +49,24 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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- | 2.7268 | 0.0766 | 5000 | 2.0903 |
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- | 1.8879 | 0.1533 | 10000 | 1.8917 |
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- | 1.736 | 0.2299 | 15000 | 1.7960 |
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- | 1.6529 | 0.3065 | 20000 | 1.7344 |
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- | 1.5904 | 0.3832 | 25000 | 1.6852 |
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- | 1.5397 | 0.4598 | 30000 | 1.6280 |
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- | 1.4955 | 0.5365 | 35000 | 1.5907 |
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- | 1.4507 | 0.6131 | 40000 | 1.5538 |
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- | 1.4103 | 0.6897 | 45000 | 1.5098 |
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- | 1.3687 | 0.7664 | 50000 | 1.4685 |
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- | 1.3315 | 0.8430 | 55000 | 1.4236 |
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- | 1.2884 | 0.9196 | 60000 | 1.3930 |
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- | 1.2449 | 0.9963 | 65000 | 1.3380 |
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  ### Framework versions
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  - Transformers 4.45.0.dev0
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- - Pytorch 2.1.0
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- - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.5904
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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+ | 4.9189 | 0.0766 | 5000 | 4.7222 |
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+ | 4.6994 | 0.1533 | 10000 | 4.6899 |
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+ | 4.6724 | 0.2299 | 15000 | 4.6754 |
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+ | 4.6608 | 0.3065 | 20000 | 4.6618 |
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+ | 4.6498 | 0.3832 | 25000 | 4.6529 |
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+ | 4.6401 | 0.4598 | 30000 | 4.6463 |
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+ | 4.6328 | 0.5365 | 35000 | 4.6370 |
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+ | 4.6226 | 0.6131 | 40000 | 4.6300 |
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+ | 4.6128 | 0.6897 | 45000 | 4.6196 |
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+ | 4.6034 | 0.7664 | 50000 | 4.6116 |
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+ | 4.5965 | 0.8430 | 55000 | 4.6028 |
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+ | 4.5869 | 0.9196 | 60000 | 4.5959 |
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+ | 4.5813 | 0.9963 | 65000 | 4.5904 |
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  ### Framework versions
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  - Transformers 4.45.0.dev0
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+ - Pytorch 2.2.0
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+ - Datasets 3.0.0
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  - Tokenizers 0.19.1