---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb-mlm-accelerate
  results: []
metrics:
- perplexity
pipeline_tag: fill-mask
---

<!-- 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. -->

# distilbert-base-uncased-finetuned-imdb-mlm-acclerate

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Perplexity: 11.0482

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure 
    Accelerate

### Training hyperparameters

The following hyperparameters were used during training:
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: AdamW with lr=5e-5
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss       | Epoch | Validation Loss    | Perplexity         |
|:-------------------:|:-----:|:------------------:|:------------------:|
| 2.657470791203201   | 1.0   | 2.462477684020996  | 11.733848321632662 |
| 2.5095403741119773  | 2.0   | 2.4211950302124023 | 11.259306489817392 |
| 2.4733242700054388  | 3.0   | 2.4022672176361084 | 11.048196673044224 |





Run history:

    Perplexity	█▃▁
    eval/loss	█▂▁▁▁
    eval/runtime	█▁▁▁▁
    eval/samples_per_second	▁▇█▇█
    eval/steps_per_second	▁▇█▇█
    train/epoch	▁▁▄▅████
    train/global_step	▁▃▃▆▆███████
    train/learning_rate	█▄▁
    train/loss	█▃▁
    train/total_flos	▁
    train/train_loss	▁
    train/train_runtime	▁
    train/train_samples_per_second	▁
    train/train_steps_per_second	▁

Run summary:

    Perplexity	11.0482
    eval/loss	2.41189
    eval/runtime	1.923
    eval/samples_per_second	520.03
    eval/steps_per_second	8.32
    train/epoch	3.0
    train/global_step	471
    train/learning_rate	0.0
    train/loss	2.5354
    train/total_flos	994208670720000.0
    train/train_loss	2.60498
    train/train_runtime	159.5259
    train/train_samples_per_second	188.057
    train/train_steps_per_second	2.952


View run classic-pond-2 at: https://wandb.ai/tchoud8/distilbert-base-uncased-finetuned-imdb-accelerate/runs/a7hw7i1u

### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3