transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: full2-lstm-3
  results: []
---

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# full2-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: 3.9703

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7949        | 0.03  | 76320   | 4.7623          |
| 4.5075        | 1.03  | 152640  | 4.4794          |
| 4.3602        | 0.03  | 228960  | 4.3429          |
| 4.2766        | 1.03  | 305280  | 4.2588          |
| 4.2113        | 0.03  | 381600  | 4.2022          |
| 4.1648        | 1.03  | 457920  | 4.1606          |
| 4.1336        | 0.03  | 534240  | 4.1292          |
| 4.1008        | 1.03  | 610560  | 4.1050          |
| 4.0722        | 0.03  | 686880  | 4.0849          |
| 4.0491        | 1.03  | 763200  | 4.0689          |
| 4.0263        | 0.03  | 839520  | 4.0557          |
| 4.0088        | 1.03  | 915840  | 4.0452          |
| 3.9954        | 0.03  | 992160  | 4.0355          |
| 3.9784        | 1.03  | 1068480 | 4.0274          |
| 3.9641        | 0.03  | 1144800 | 4.0212          |
| 3.9491        | 1.03  | 1221120 | 4.0152          |
| 3.9347        | 0.03  | 1297440 | 4.0090          |
| 3.9257        | 1.03  | 1373760 | 4.0047          |
| 3.9144        | 0.03  | 1450080 | 4.0009          |
| 3.9137        | 1.03  | 1526400 | 3.9975          |
| 3.9061        | 0.03  | 1602720 | 3.9940          |
| 3.9037        | 1.03  | 1679040 | 3.9917          |
| 3.9045        | 0.03  | 1755360 | 3.9893          |
| 3.8999        | 1.03  | 1831680 | 3.9873          |
| 3.8897        | 0.03  | 1908000 | 3.9854          |
| 3.8842        | 1.03  | 1984320 | 3.9832          |
| 3.8789        | 0.03  | 2060640 | 3.9805          |
| 3.8724        | 1.03  | 2136960 | 3.9793          |
| 3.8717        | 0.03  | 2213280 | 3.9778          |
| 3.8658        | 1.03  | 2289600 | 3.9768          |
| 3.8594        | 0.03  | 2365920 | 3.9757          |
| 3.8523        | 1.03  | 2442240 | 3.9751          |
| 3.8455        | 0.03  | 2518560 | 3.9739          |
| 3.8431        | 0.03  | 2594880 | 3.9734          |
| 3.8368        | 0.03  | 2671200 | 3.9728          |
| 3.8431        | 1.03  | 2747520 | 3.9721          |
| 3.8423        | 0.03  | 2823840 | 3.9716          |
| 3.8432        | 0.03  | 2900160 | 3.9712          |
| 3.8477        | 1.03  | 2976480 | 3.9706          |
| 3.8461        | 0.02  | 3052726 | 3.9703          |


### Framework versions

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