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End of training
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README.md
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---
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license: other
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base_model: facebook/opt-125m
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- matthews_correlation
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model-index:
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- name: opt-125m-finetuned-cola
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: glue
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type: glue
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config: cola
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split: validation
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args: cola
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metrics:
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- name: Matthews Correlation
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type: matthews_correlation
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value: 0.45999217612288934
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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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# opt-125m-finetuned-cola
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4759
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- Matthews Correlation: 0.4600
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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: 2e-05
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.5213 | 1.0 | 535 | 0.4759 | 0.4600 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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runs/Dec20_01-09-29_2366b2290eb3/events.out.tfevents.1703034704.2366b2290eb3.2480.7
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6e29e9ccd24e7c4ef3770ca182c492f3999f74b7f75488686c8b9ee402a1bff
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size 423
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