transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: full-lstm-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# full-lstm-3

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: 3.9685

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7832        | 0.03  | 76319   | 4.7485          |
| 4.5027        | 0.03  | 152638  | 4.4708          |
| 4.3608        | 0.03  | 228957  | 4.3370          |
| 4.2693        | 1.03  | 305276  | 4.2557          |
| 4.2052        | 0.03  | 381595  | 4.2002          |
| 4.1539        | 1.03  | 457914  | 4.1587          |
| 4.1188        | 0.03  | 534233  | 4.1278          |
| 4.0903        | 0.03  | 610552  | 4.1043          |
| 4.0598        | 1.03  | 686871  | 4.0848          |
| 4.036         | 0.03  | 763190  | 4.0675          |
| 4.0172        | 1.03  | 839509  | 4.0550          |
| 4.001         | 0.03  | 915828  | 4.0447          |
| 3.9809        | 0.03  | 992147  | 4.0355          |
| 3.9667        | 0.03  | 1068467 | 4.0263          |
| 3.9546        | 1.03  | 1144787 | 4.0188          |
| 3.9525        | 0.03  | 1221107 | 4.0124          |
| 3.9332        | 1.03  | 1297427 | 4.0074          |
| 3.9251        | 0.03  | 1373747 | 4.0028          |
| 3.9148        | 1.03  | 1450067 | 3.9989          |
| 3.9065        | 0.03  | 1526387 | 3.9954          |
| 3.9044        | 1.03  | 1602707 | 3.9925          |
| 3.8995        | 0.03  | 1679027 | 3.9900          |
| 3.8994        | 0.03  | 1755347 | 3.9872          |
| 3.895         | 1.03  | 1831667 | 3.9849          |
| 3.8861        | 0.03  | 1907987 | 3.9832          |
| 3.8793        | 1.03  | 1984307 | 3.9809          |
| 3.8748        | 0.03  | 2060627 | 3.9785          |
| 3.8675        | 1.03  | 2136947 | 3.9774          |
| 3.8656        | 0.03  | 2213267 | 3.9760          |
| 3.8586        | 0.03  | 2289587 | 3.9746          |
| 3.8518        | 1.03  | 2365907 | 3.9738          |
| 3.85          | 0.03  | 2442227 | 3.9729          |
| 3.8407        | 1.03  | 2518547 | 3.9720          |
| 3.8388        | 0.03  | 2594867 | 3.9711          |
| 3.8321        | 1.03  | 2671187 | 3.9704          |
| 3.8326        | 0.03  | 2747507 | 3.9700          |
| 3.8354        | 0.03  | 2823827 | 3.9696          |
| 3.8349        | 1.03  | 2900147 | 3.9691          |
| 3.8397        | 0.03  | 2976467 | 3.9687          |
| 3.8387        | 0.02  | 3052726 | 3.9685          |


### Framework versions

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