---
tags:
- generated_from_trainer
model-index:
- name: full-lstm-1
  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-1

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: 3.9726

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8036        | 0.03  | 76319   | 4.7692          |
| 4.5156        | 0.03  | 152638  | 4.4851          |
| 4.3728        | 1.03  | 228957  | 4.3496          |
| 4.2801        | 0.03  | 305276  | 4.2669          |
| 4.216         | 1.03  | 381595  | 4.2097          |
| 4.1643        | 0.03  | 457914  | 4.1683          |
| 4.1289        | 0.03  | 534233  | 4.1370          |
| 4.1016        | 0.03  | 610552  | 4.1116          |
| 4.0704        | 1.03  | 686871  | 4.0915          |
| 4.0474        | 0.03  | 763190  | 4.0756          |
| 4.0289        | 1.03  | 839509  | 4.0626          |
| 4.0114        | 0.03  | 915828  | 4.0512          |
| 3.9911        | 1.03  | 992147  | 4.0417          |
| 3.9793        | 0.03  | 1068467 | 4.0332          |
| 3.9657        | 1.03  | 1144787 | 4.0265          |
| 3.961         | 0.03  | 1221107 | 4.0183          |
| 3.942         | 1.03  | 1297427 | 4.0134          |
| 3.9346        | 0.03  | 1373747 | 4.0081          |
| 3.9222        | 1.03  | 1450067 | 4.0045          |
| 3.9166        | 0.03  | 1526387 | 4.0005          |
| 3.9154        | 1.03  | 1602707 | 3.9975          |
| 3.9098        | 0.03  | 1679027 | 3.9947          |
| 3.909         | 1.03  | 1755347 | 3.9925          |
| 3.9044        | 0.03  | 1831667 | 3.9899          |
| 3.8977        | 1.03  | 1907987 | 3.9880          |
| 3.8925        | 0.03  | 1984307 | 3.9862          |
| 3.8863        | 1.03  | 2060627 | 3.9841          |
| 3.8797        | 0.03  | 2136947 | 3.9827          |
| 3.8795        | 0.03  | 2213267 | 3.9815          |
| 3.8729        | 0.03  | 2289587 | 3.9806          |
| 3.8659        | 1.03  | 2365907 | 3.9793          |
| 3.862         | 0.03  | 2442227 | 3.9783          |
| 3.8541        | 1.03  | 2518547 | 3.9774          |
| 3.8528        | 0.03  | 2594867 | 3.9767          |
| 3.846         | 1.03  | 2671187 | 3.9760          |
| 3.8445        | 0.03  | 2747507 | 3.9748          |
| 3.848         | 0.03  | 2823827 | 3.9741          |
| 3.8471        | 0.03  | 2900147 | 3.9735          |
| 3.8508        | 1.03  | 2976467 | 3.9729          |
| 3.8512        | 0.02  | 3052726 | 3.9726          |


### Framework versions

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