transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-case-lstm-0
  results: []
---

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# binding-case-lstm-0

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: 3.9742

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7895        | 0.03  | 76320   | 4.7578          |
| 4.5087        | 1.03  | 152640  | 4.4796          |
| 4.3677        | 0.03  | 228960  | 4.3468          |
| 4.2798        | 1.03  | 305280  | 4.2636          |
| 4.2197        | 0.03  | 381600  | 4.2052          |
| 4.1719        | 0.03  | 457920  | 4.1641          |
| 4.1346        | 1.03  | 534240  | 4.1337          |
| 4.1009        | 0.03  | 610560  | 4.1094          |
| 4.0743        | 1.03  | 686880  | 4.0894          |
| 4.0499        | 0.03  | 763200  | 4.0736          |
| 4.0285        | 1.03  | 839520  | 4.0603          |
| 4.0112        | 0.03  | 915840  | 4.0491          |
| 3.994         | 1.03  | 992160  | 4.0402          |
| 3.9762        | 0.03  | 1068480 | 4.0319          |
| 3.9654        | 1.03  | 1144800 | 4.0252          |
| 3.9445        | 0.03  | 1221120 | 4.0188          |
| 3.9337        | 1.03  | 1297440 | 4.0141          |
| 3.9269        | 0.03  | 1373760 | 4.0093          |
| 3.9184        | 1.03  | 1450080 | 4.0054          |
| 3.9134        | 0.03  | 1526400 | 4.0017          |
| 3.91          | 1.03  | 1602720 | 3.9983          |
| 3.9055        | 0.03  | 1679040 | 3.9956          |
| 3.9033        | 1.03  | 1755360 | 3.9931          |
| 3.8961        | 0.03  | 1831680 | 3.9913          |
| 3.891         | 1.03  | 1908000 | 3.9888          |
| 3.8837        | 0.03  | 1984320 | 3.9870          |
| 3.8772        | 0.03  | 2060640 | 3.9851          |
| 3.873         | 1.03  | 2136960 | 3.9836          |
| 3.8665        | 0.03  | 2213280 | 3.9820          |
| 3.8578        | 1.03  | 2289600 | 3.9808          |
| 3.8589        | 0.03  | 2365920 | 3.9794          |
| 3.8454        | 1.03  | 2442240 | 3.9786          |
| 3.8422        | 0.03  | 2518560 | 3.9777          |
| 3.8414        | 1.03  | 2594880 | 3.9772          |
| 3.8385        | 0.03  | 2671200 | 3.9765          |
| 3.8387        | 1.03  | 2747520 | 3.9759          |
| 3.8426        | 0.03  | 2823840 | 3.9754          |
| 3.8437        | 0.03  | 2900160 | 3.9748          |
| 3.8446        | 0.03  | 2976480 | 3.9744          |
| 3.8407        | 1.02  | 3052726 | 3.9742          |


### Framework versions

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