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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# full-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: 3.9716

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7917        | 0.03  | 76319   | 4.7567          |
| 4.5064        | 1.03  | 152638  | 4.4756          |
| 4.3631        | 0.03  | 228957  | 4.3407          |
| 4.2711        | 1.03  | 305276  | 4.2578          |
| 4.2077        | 0.03  | 381595  | 4.2014          |
| 4.157         | 1.03  | 457914  | 4.1600          |
| 4.1224        | 0.03  | 534233  | 4.1296          |
| 4.0928        | 0.03  | 610552  | 4.1052          |
| 4.0627        | 1.03  | 686871  | 4.0866          |
| 4.0409        | 0.03  | 763190  | 4.0706          |
| 4.0209        | 1.03  | 839509  | 4.0576          |
| 4.0041        | 0.03  | 915828  | 4.0470          |
| 3.9838        | 0.03  | 992147  | 4.0377          |
| 3.9707        | 0.03  | 1068467 | 4.0283          |
| 3.96          | 1.03  | 1144787 | 4.0217          |
| 3.9578        | 0.03  | 1221107 | 4.0144          |
| 3.9374        | 1.03  | 1297427 | 4.0091          |
| 3.9288        | 0.03  | 1373747 | 4.0045          |
| 3.9178        | 1.03  | 1450067 | 4.0008          |
| 3.9111        | 0.03  | 1526387 | 3.9972          |
| 3.9123        | 1.03  | 1602707 | 3.9945          |
| 3.9072        | 0.03  | 1679027 | 3.9921          |
| 3.9062        | 1.03  | 1755347 | 3.9889          |
| 3.9022        | 0.03  | 1831667 | 3.9870          |
| 3.8944        | 0.03  | 1907987 | 3.9850          |
| 3.8882        | 1.03  | 1984307 | 3.9836          |
| 3.883         | 0.03  | 2060627 | 3.9817          |
| 3.8755        | 1.03  | 2136947 | 3.9808          |
| 3.8735        | 0.03  | 2213267 | 3.9796          |
| 3.8684        | 1.03  | 2289587 | 3.9782          |
| 3.86          | 0.03  | 2365907 | 3.9773          |
| 3.8611        | 1.03  | 2442227 | 3.9764          |
| 3.8488        | 0.03  | 2518547 | 3.9757          |
| 3.8468        | 1.03  | 2594867 | 3.9747          |
| 3.8413        | 0.03  | 2671187 | 3.9741          |
| 3.8399        | 0.03  | 2747507 | 3.9734          |
| 3.845         | 1.03  | 2823827 | 3.9730          |
| 3.8433        | 0.03  | 2900147 | 3.9724          |
| 3.8469        | 1.03  | 2976467 | 3.9720          |
| 3.8461        | 0.02  | 3052726 | 3.9716          |


### Framework versions

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