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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# binding-case-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: 3.9748

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.793         | 0.03  | 76320   | 4.7610          |
| 4.5078        | 1.03  | 152640  | 4.4815          |
| 4.3662        | 0.03  | 228960  | 4.3454          |
| 4.2772        | 1.03  | 305280  | 4.2625          |
| 4.2165        | 0.03  | 381600  | 4.2062          |
| 4.1704        | 0.03  | 457920  | 4.1645          |
| 4.1336        | 1.03  | 534240  | 4.1334          |
| 4.0998        | 0.03  | 610560  | 4.1087          |
| 4.0754        | 0.03  | 686880  | 4.0897          |
| 4.0505        | 1.03  | 763200  | 4.0733          |
| 4.0282        | 0.03  | 839520  | 4.0602          |
| 4.0115        | 1.03  | 915840  | 4.0487          |
| 3.9943        | 0.03  | 992160  | 4.0396          |
| 3.9766        | 1.03  | 1068480 | 4.0313          |
| 3.9675        | 0.03  | 1144800 | 4.0246          |
| 3.9447        | 1.03  | 1221120 | 4.0192          |
| 3.9354        | 0.03  | 1297440 | 4.0142          |
| 3.9278        | 1.03  | 1373760 | 4.0092          |
| 3.918         | 0.03  | 1450080 | 4.0055          |
| 3.9146        | 1.03  | 1526400 | 4.0013          |
| 3.9107        | 0.03  | 1602720 | 3.9987          |
| 3.9089        | 1.03  | 1679040 | 3.9956          |
| 3.9035        | 0.03  | 1755360 | 3.9926          |
| 3.898         | 1.03  | 1831680 | 3.9903          |
| 3.8927        | 0.03  | 1908000 | 3.9885          |
| 3.8853        | 1.03  | 1984320 | 3.9868          |
| 3.8795        | 0.03  | 2060640 | 3.9850          |
| 3.876         | 0.03  | 2136960 | 3.9838          |
| 3.871         | 1.03  | 2213280 | 3.9824          |
| 3.8615        | 0.03  | 2289600 | 3.9814          |
| 3.8613        | 1.03  | 2365920 | 3.9803          |
| 3.8485        | 0.03  | 2442240 | 3.9792          |
| 3.8443        | 1.03  | 2518560 | 3.9786          |
| 3.8438        | 0.03  | 2594880 | 3.9778          |
| 3.8407        | 0.03  | 2671200 | 3.9770          |
| 3.842         | 1.03  | 2747520 | 3.9764          |
| 3.8433        | 0.03  | 2823840 | 3.9758          |
| 3.8447        | 0.03  | 2900160 | 3.9755          |
| 3.8456        | 0.03  | 2976480 | 3.9751          |
| 3.8445        | 0.02  | 3052726 | 3.9748          |


### Framework versions

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