transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: full2-lstm-0
  results: []
---

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# full2-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: 3.9726

## 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: 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7998        | 0.03  | 76320   | 4.7682          |
| 4.5113        | 1.03  | 152640  | 4.4833          |
| 4.3656        | 0.03  | 228960  | 4.3470          |
| 4.2808        | 1.03  | 305280  | 4.2632          |
| 4.2151        | 0.03  | 381600  | 4.2061          |
| 4.17          | 0.03  | 457920  | 4.1647          |
| 4.1358        | 1.03  | 534240  | 4.1329          |
| 4.1038        | 0.03  | 610560  | 4.1080          |
| 4.0759        | 1.03  | 686880  | 4.0886          |
| 4.0515        | 0.03  | 763200  | 4.0722          |
| 4.0312        | 1.03  | 839520  | 4.0589          |
| 4.0129        | 0.03  | 915840  | 4.0478          |
| 4.0007        | 1.03  | 992160  | 4.0386          |
| 3.9838        | 0.03  | 1068480 | 4.0304          |
| 3.9688        | 1.03  | 1144800 | 4.0238          |
| 3.9562        | 0.03  | 1221120 | 4.0180          |
| 3.9415        | 1.03  | 1297440 | 4.0129          |
| 3.9309        | 0.03  | 1373760 | 4.0080          |
| 3.9178        | 1.03  | 1450080 | 4.0038          |
| 3.9189        | 0.03  | 1526400 | 4.0004          |
| 3.9119        | 1.03  | 1602720 | 3.9974          |
| 3.9059        | 0.03  | 1679040 | 3.9936          |
| 3.9076        | 1.03  | 1755360 | 3.9911          |
| 3.9022        | 0.03  | 1831680 | 3.9889          |
| 3.8923        | 1.03  | 1908000 | 3.9861          |
| 3.8881        | 0.03  | 1984320 | 3.9846          |
| 3.8813        | 1.03  | 2060640 | 3.9834          |
| 3.8772        | 0.03  | 2136960 | 3.9821          |
| 3.8762        | 0.03  | 2213280 | 3.9805          |
| 3.869         | 1.03  | 2289600 | 3.9791          |
| 3.8621        | 0.03  | 2365920 | 3.9779          |
| 3.8579        | 0.03  | 2442240 | 3.9772          |
| 3.8495        | 1.03  | 2518560 | 3.9763          |
| 3.8465        | 0.03  | 2594880 | 3.9757          |
| 3.8429        | 0.03  | 2671200 | 3.9751          |
| 3.846         | 1.03  | 2747520 | 3.9743          |
| 3.8439        | 0.03  | 2823840 | 3.9737          |
| 3.8466        | 0.03  | 2900160 | 3.9731          |
| 3.8495        | 1.03  | 2976480 | 3.9729          |
| 3.8507        | 0.02  | 3052726 | 3.9726          |


### Framework versions

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