
# Result

| Dataset|eval_loss  |   val_accuracy  |eval_runtime | eval_samples_per_second | eval_steps_per_second|  epoch | eval_samples|
|--- | --- | --- | --- |--- |--- |--- |--- |
|mnli| 0.379848 |      0.919205|      176.6898|                   55.549  |                0.872 |   3.0|          9815|
|rte |      0.832783|       0.794224|       12.7722|                   21.688  |                0.391|    3.0|           277|
|wnli|      1.895502|       0.267606|        2.2314|                   31.818  |                0.896|    3.0|            71|
|mnli-mm|   0.360970|       0.923312|      170.7412|                   57.584  |                0.902|    3.0|          9832|
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# gpt2xl-MNLI,RTE,WNLI

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the GLUE MNLI,RTE,WNLI dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3610
- Accuracy: 0.9233

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.31.0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.13.3

{"language": ["en"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "gpt2-xl", "model-index": [{"name": "gpt2xl-MNLI,RTE,WNLI", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE MNLI,RTE,WNLI", "type": "glue", "config": "mnli", "split": "validation_matched", "args": "mnli,rte,wnli"}, "metrics": [{"type": "accuracy", "value": 0.9233116354759967, "name": "Accuracy"}]}]}]}
transformers pytorch gpt2 text-classification generated_from_trainer en dataset:glue base_model:gpt2-xl license:mit model-index autotrain_compatible endpoints_compatible text-generation-inference region:us