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- adapter_model.safetensors +1 -1
README.md
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---
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license: bsd-3-clause
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base_model: Salesforce/codet5-large
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tags:
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- generated_from_trainer
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datasets:
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- arrow
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library_name: peft
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model-index:
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- name: codet5-large-2024-11-27_20-00
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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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# codet5-large-2024-11-27_20-00
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This model is a fine-tuned version of [Salesforce/codet5-large](https://huggingface.co/Salesforce/codet5-large) on the arrow dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2856
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- Gen Len: 18.9997
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- Bertscorer-p: 0.6071
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- Bertscorer-r: 0.2214
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- Bertscorer-f1: 0.4073
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- Sacrebleu-score: 13.1915
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- Sacrebleu-precisions: [91.2377160786171, 81.28148602080365, 74.45810305941498, 69.5812750161697]
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- Bleu-bp: 0.1676
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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: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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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 | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:--------------------------------------------------------------------------:|:-------:|
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| 0.3327 | 1.0 | 2386 | 0.2856 | 18.9997 | 0.6071 | 0.2214 | 0.4073 | 13.1915 | [91.2377160786171, 81.28148602080365, 74.45810305941498, 69.5812750161697] | 0.1676 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.40.1
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- Pytorch 1.13.1+cu117
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 69316056
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version https://git-lfs.github.com/spec/v1
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size 69316056
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