---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-lotr
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilgpt2-lotr

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3901

## 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
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 73   | 3.6392          |
| No log        | 2.0   | 146  | 3.5466          |
| No log        | 3.0   | 219  | 3.5038          |
| No log        | 4.0   | 292  | 3.4761          |
| No log        | 5.0   | 365  | 3.4546          |
| No log        | 6.0   | 438  | 3.4379          |
| 3.6024        | 7.0   | 511  | 3.4265          |
| 3.6024        | 8.0   | 584  | 3.4160          |
| 3.6024        | 9.0   | 657  | 3.4096          |
| 3.6024        | 10.0  | 730  | 3.4025          |
| 3.6024        | 11.0  | 803  | 3.3969          |
| 3.6024        | 12.0  | 876  | 3.3933          |
| 3.6024        | 13.0  | 949  | 3.3916          |
| 3.4101        | 14.0  | 1022 | 3.3910          |
| 3.4101        | 15.0  | 1095 | 3.3901          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1