---
tags:
- generated_from_trainer
model-index:
- name: full2-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. -->

# full2-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: 3.9693

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7908        | 0.03  | 76320   | 4.7591          |
| 4.503         | 1.03  | 152640  | 4.4757          |
| 4.3573        | 0.03  | 228960  | 4.3392          |
| 4.2734        | 1.03  | 305280  | 4.2557          |
| 4.2087        | 0.03  | 381600  | 4.1996          |
| 4.1623        | 1.03  | 457920  | 4.1579          |
| 4.1299        | 0.03  | 534240  | 4.1275          |
| 4.0985        | 1.03  | 610560  | 4.1030          |
| 4.0681        | 0.03  | 686880  | 4.0831          |
| 4.0451        | 1.03  | 763200  | 4.0677          |
| 4.0249        | 0.03  | 839520  | 4.0546          |
| 4.0052        | 1.03  | 915840  | 4.0434          |
| 3.9931        | 0.03  | 992160  | 4.0340          |
| 3.978         | 1.03  | 1068480 | 4.0267          |
| 3.9631        | 0.03  | 1144800 | 4.0203          |
| 3.9499        | 1.03  | 1221120 | 4.0141          |
| 3.9341        | 0.03  | 1297440 | 4.0091          |
| 3.9257        | 1.03  | 1373760 | 4.0043          |
| 3.9144        | 0.03  | 1450080 | 4.0004          |
| 3.9117        | 0.03  | 1526400 | 3.9971          |
| 3.9051        | 1.03  | 1602720 | 3.9939          |
| 3.9014        | 0.03  | 1679040 | 3.9910          |
| 3.9001        | 1.03  | 1755360 | 3.9879          |
| 3.8949        | 0.03  | 1831680 | 3.9852          |
| 3.8882        | 1.03  | 1908000 | 3.9834          |
| 3.8832        | 0.03  | 1984320 | 3.9819          |
| 3.8759        | 1.03  | 2060640 | 3.9804          |
| 3.8706        | 0.03  | 2136960 | 3.9790          |
| 3.8694        | 1.03  | 2213280 | 3.9776          |
| 3.8642        | 0.03  | 2289600 | 3.9764          |
| 3.8565        | 1.03  | 2365920 | 3.9754          |
| 3.853         | 0.03  | 2442240 | 3.9741          |
| 3.8458        | 1.03  | 2518560 | 3.9735          |
| 3.8418        | 0.03  | 2594880 | 3.9724          |
| 3.8351        | 0.03  | 2671200 | 3.9713          |
| 3.8391        | 0.03  | 2747520 | 3.9706          |
| 3.8383        | 0.03  | 2823840 | 3.9701          |
| 3.839         | 0.03  | 2900160 | 3.9698          |
| 3.8427        | 0.03  | 2976480 | 3.9694          |
| 3.8414        | 1.02  | 3052726 | 3.9693          |


### Framework versions

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