---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: distily_bench_gpt2_activation_loss_b
  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. -->

# distily_bench_gpt2_activation_loss_b

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1156

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| No log        | 0      | 0     | 6.0052          |
| 1.8938        | 0.0808 | 1000  | 1.9915          |
| 1.7378        | 0.1616 | 2000  | 1.8007          |
| 1.7337        | 0.2424 | 3000  | 1.6868          |
| 1.5761        | 0.3232 | 4000  | 1.5975          |
| 1.5284        | 0.4040 | 5000  | 1.5055          |
| 1.3739        | 0.4848 | 6000  | 1.4362          |
| 1.4322        | 0.5657 | 7000  | 1.3724          |
| 1.3508        | 0.6465 | 8000  | 1.3171          |
| 1.3875        | 0.7273 | 9000  | 1.2684          |
| 1.3039        | 0.8081 | 10000 | 1.2160          |
| 1.2591        | 0.8889 | 11000 | 1.1656          |
| 1.2144        | 0.9697 | 12000 | 1.1263          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.21.0
- Tokenizers 0.19.1