---
tags:
- generated_from_trainer
model-index:
- name: full-lstm-0
  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. -->

# full-lstm-0

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: 3.9694

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8015        | 0.03  | 76319   | 4.7666          |
| 4.5084        | 1.03  | 152638  | 4.4785          |
| 4.3627        | 0.03  | 228957  | 4.3422          |
| 4.2719        | 1.03  | 305276  | 4.2587          |
| 4.207         | 0.03  | 381595  | 4.2008          |
| 4.157         | 1.03  | 457914  | 4.1598          |
| 4.1211        | 0.03  | 534233  | 4.1288          |
| 4.0934        | 0.03  | 610552  | 4.1043          |
| 4.0625        | 1.03  | 686871  | 4.0851          |
| 4.0403        | 0.03  | 763190  | 4.0690          |
| 4.0192        | 0.03  | 839509  | 4.0562          |
| 4.0046        | 0.03  | 915828  | 4.0454          |
| 3.9833        | 0.03  | 992148  | 4.0356          |
| 3.9707        | 1.03  | 1068468 | 4.0273          |
| 3.9639        | 0.03  | 1144788 | 4.0195          |
| 3.9539        | 1.03  | 1221108 | 4.0139          |
| 3.9372        | 0.03  | 1297428 | 4.0088          |
| 3.9294        | 1.03  | 1373748 | 4.0042          |
| 3.9158        | 0.03  | 1450068 | 4.0000          |
| 3.9084        | 1.03  | 1526388 | 3.9959          |
| 3.9068        | 0.03  | 1602708 | 3.9934          |
| 3.9023        | 0.03  | 1679028 | 3.9910          |
| 3.9014        | 0.03  | 1755348 | 3.9886          |
| 3.8972        | 1.03  | 1831668 | 3.9863          |
| 3.8877        | 0.03  | 1907988 | 3.9832          |
| 3.8826        | 1.03  | 1984308 | 3.9816          |
| 3.8796        | 0.03  | 2060628 | 3.9805          |
| 3.8705        | 0.03  | 2136948 | 3.9788          |
| 3.8694        | 0.03  | 2213268 | 3.9773          |
| 3.863         | 1.03  | 2289588 | 3.9766          |
| 3.857         | 0.03  | 2365908 | 3.9751          |
| 3.8545        | 1.03  | 2442228 | 3.9737          |
| 3.8461        | 0.03  | 2518548 | 3.9731          |
| 3.8429        | 1.03  | 2594868 | 3.9722          |
| 3.8378        | 0.03  | 2671188 | 3.9716          |
| 3.8349        | 0.03  | 2747508 | 3.9707          |
| 3.8407        | 0.03  | 2823828 | 3.9704          |
| 3.8386        | 1.03  | 2900148 | 3.9700          |
| 3.8431        | 0.03  | 2976468 | 3.9696          |
| 3.8437        | 0.02  | 3052726 | 3.9694          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3