transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: full2-lstm-4
  results: []
---

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# full2-lstm-4

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: 3.9723

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7959        | 0.03  | 76320   | 4.7638          |
| 4.5079        | 1.03  | 152640  | 4.4815          |
| 4.3625        | 0.03  | 228960  | 4.3450          |
| 4.2769        | 1.03  | 305280  | 4.2616          |
| 4.2133        | 0.03  | 381600  | 4.2046          |
| 4.167         | 0.03  | 457920  | 4.1638          |
| 4.1327        | 0.03  | 534240  | 4.1323          |
| 4.1009        | 1.03  | 610560  | 4.1073          |
| 4.0712        | 0.03  | 686880  | 4.0878          |
| 4.0477        | 1.03  | 763200  | 4.0715          |
| 4.0282        | 0.03  | 839520  | 4.0582          |
| 4.0086        | 1.03  | 915840  | 4.0472          |
| 3.9979        | 0.03  | 992160  | 4.0375          |
| 3.9819        | 1.03  | 1068480 | 4.0296          |
| 3.9663        | 0.03  | 1144800 | 4.0231          |
| 3.9521        | 1.03  | 1221120 | 4.0175          |
| 3.9375        | 0.03  | 1297440 | 4.0120          |
| 3.929         | 1.03  | 1373760 | 4.0072          |
| 3.9164        | 0.03  | 1450080 | 4.0034          |
| 3.9149        | 1.03  | 1526400 | 3.9997          |
| 3.9088        | 0.03  | 1602720 | 3.9969          |
| 3.9042        | 1.03  | 1679040 | 3.9941          |
| 3.9046        | 0.03  | 1755360 | 3.9915          |
| 3.8983        | 1.03  | 1831680 | 3.9891          |
| 3.8929        | 0.03  | 1908000 | 3.9868          |
| 3.8857        | 1.03  | 1984320 | 3.9849          |
| 3.8807        | 0.03  | 2060640 | 3.9831          |
| 3.8737        | 0.03  | 2136960 | 3.9818          |
| 3.8729        | 1.03  | 2213280 | 3.9802          |
| 3.8669        | 0.03  | 2289600 | 3.9789          |
| 3.8603        | 0.03  | 2365920 | 3.9781          |
| 3.8562        | 1.03  | 2442240 | 3.9771          |
| 3.8473        | 0.03  | 2518560 | 3.9763          |
| 3.8437        | 1.03  | 2594880 | 3.9755          |
| 3.8393        | 0.03  | 2671200 | 3.9749          |
| 3.8432        | 0.03  | 2747520 | 3.9742          |
| 3.8431        | 1.03  | 2823840 | 3.9735          |
| 3.8439        | 0.03  | 2900160 | 3.9730          |
| 3.8476        | 1.03  | 2976480 | 3.9726          |
| 3.8466        | 0.02  | 3052726 | 3.9723          |


### Framework versions

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