transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: full2-lstm-2
  results: []
---

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# full2-lstm-2

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: 3.9738

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7958        | 0.03  | 76320   | 4.7656          |
| 4.5105        | 1.03  | 152640  | 4.4827          |
| 4.3654        | 0.03  | 228960  | 4.3482          |
| 4.2801        | 1.03  | 305280  | 4.2650          |
| 4.2161        | 0.03  | 381600  | 4.2080          |
| 4.1711        | 1.03  | 457920  | 4.1662          |
| 4.1373        | 0.03  | 534240  | 4.1357          |
| 4.106         | 1.03  | 610560  | 4.1113          |
| 4.0755        | 0.03  | 686880  | 4.0909          |
| 4.0519        | 1.03  | 763200  | 4.0743          |
| 4.0312        | 0.03  | 839520  | 4.0611          |
| 4.0136        | 1.03  | 915840  | 4.0505          |
| 4.0004        | 0.03  | 992160  | 4.0414          |
| 3.9837        | 1.03  | 1068480 | 4.0328          |
| 3.9692        | 0.03  | 1144800 | 4.0253          |
| 3.9547        | 1.03  | 1221120 | 4.0192          |
| 3.9407        | 0.03  | 1297440 | 4.0140          |
| 3.9307        | 1.03  | 1373760 | 4.0091          |
| 3.9213        | 0.03  | 1450080 | 4.0055          |
| 3.9184        | 1.03  | 1526400 | 4.0017          |
| 3.9134        | 0.03  | 1602720 | 3.9992          |
| 3.9108        | 1.03  | 1679040 | 3.9962          |
| 3.9086        | 0.03  | 1755360 | 3.9935          |
| 3.9036        | 1.03  | 1831680 | 3.9910          |
| 3.8942        | 0.03  | 1908000 | 3.9890          |
| 3.8892        | 1.03  | 1984320 | 3.9867          |
| 3.8825        | 0.03  | 2060640 | 3.9852          |
| 3.8768        | 1.03  | 2136960 | 3.9835          |
| 3.8758        | 0.03  | 2213280 | 3.9815          |
| 3.8693        | 1.03  | 2289600 | 3.9807          |
| 3.8621        | 0.03  | 2365920 | 3.9796          |
| 3.8589        | 0.03  | 2442240 | 3.9788          |
| 3.8513        | 0.03  | 2518560 | 3.9778          |
| 3.8487        | 1.03  | 2594880 | 3.9770          |
| 3.8424        | 0.03  | 2671200 | 3.9763          |
| 3.8467        | 1.03  | 2747520 | 3.9756          |
| 3.8475        | 0.03  | 2823840 | 3.9750          |
| 3.8449        | 1.03  | 2900160 | 3.9745          |
| 3.8521        | 0.03  | 2976480 | 3.9741          |
| 3.8498        | 0.02  | 3052726 | 3.9738          |


### Framework versions

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