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# TED_CLM_gpt2_tedlium4

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9157
- Accuracy: 0.5497

## 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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 512
- total_eval_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20000
- num_epochs: 15.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.1599        | 0.32  | 3000  | 2.3060          | 0.4711   |
| 2.0452        | 0.65  | 6000  | 2.1564          | 0.5013   |
| 1.9981        | 0.97  | 9000  | 2.0995          | 0.5142   |
| 1.9806        | 1.3   | 12000 | 2.0596          | 0.5168   |
| 1.9459        | 1.62  | 15000 | 2.0307          | 0.5235   |
| 1.9205        | 1.95  | 18000 | 2.0189          | 0.5279   |
| 1.9039        | 2.27  | 21000 | 2.0024          | 0.5313   |
| 1.9033        | 2.6   | 24000 | 1.9890          | 0.5337   |
| 1.8621        | 2.92  | 27000 | 1.9509          | 0.5401   |
| 1.8252        | 3.25  | 30000 | 1.9420          | 0.5439   |
| 1.813         | 3.57  | 33000 | 1.9208          | 0.5493   |
| 1.8085        | 3.9   | 36000 | 1.9157          | 0.5497   |
| 1.7984        | 4.22  | 39000 | 1.9157          | 0.5497   |
| 1.8008        | 4.55  | 42000 | 1.9157          | 0.5497   |
| 1.7967        | 4.87  | 45000 | 1.9157          | 0.5497   |
| 1.7972        | 5.2   | 48000 | 1.9157          | 0.5497   |
| 1.7967        | 5.52  | 51000 | 1.9157          | 0.5497   |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "TED_CLM_gpt2_tedlium4", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us