transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-case-lstm-4
  results: []
---

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# binding-case-lstm-4

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: 3.9721

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7898        | 0.03  | 76320   | 4.7569          |
| 4.5057        | 1.03  | 152640  | 4.4762          |
| 4.3637        | 0.03  | 228960  | 4.3420          |
| 4.2767        | 1.03  | 305280  | 4.2589          |
| 4.215         | 0.03  | 381600  | 4.2025          |
| 4.1682        | 0.03  | 457920  | 4.1610          |
| 4.1327        | 1.03  | 534240  | 4.1302          |
| 4.0996        | 0.03  | 610560  | 4.1067          |
| 4.0729        | 1.03  | 686880  | 4.0872          |
| 4.0478        | 0.03  | 763200  | 4.0712          |
| 4.0291        | 0.03  | 839520  | 4.0578          |
| 4.0116        | 1.03  | 915840  | 4.0474          |
| 3.9934        | 0.03  | 992160  | 4.0378          |
| 3.976         | 1.03  | 1068480 | 4.0298          |
| 3.9673        | 0.03  | 1144800 | 4.0232          |
| 3.9437        | 1.03  | 1221120 | 4.0174          |
| 3.933         | 0.03  | 1297440 | 4.0125          |
| 3.9239        | 1.03  | 1373760 | 4.0074          |
| 3.9167        | 0.03  | 1450080 | 4.0034          |
| 3.9121        | 1.03  | 1526400 | 3.9994          |
| 3.9081        | 0.03  | 1602720 | 3.9955          |
| 3.9053        | 1.03  | 1679040 | 3.9927          |
| 3.9027        | 0.03  | 1755360 | 3.9907          |
| 3.8966        | 1.03  | 1831680 | 3.9888          |
| 3.8913        | 0.03  | 1908000 | 3.9873          |
| 3.8831        | 0.03  | 1984320 | 3.9854          |
| 3.8796        | 1.03  | 2060640 | 3.9839          |
| 3.8751        | 0.03  | 2136960 | 3.9823          |
| 3.8685        | 1.03  | 2213280 | 3.9810          |
| 3.86          | 0.03  | 2289600 | 3.9796          |
| 3.8605        | 1.03  | 2365920 | 3.9780          |
| 3.8465        | 0.03  | 2442240 | 3.9771          |
| 3.8422        | 1.03  | 2518560 | 3.9761          |
| 3.8393        | 0.03  | 2594880 | 3.9753          |
| 3.8389        | 1.03  | 2671200 | 3.9745          |
| 3.841         | 0.03  | 2747520 | 3.9739          |
| 3.84          | 1.03  | 2823840 | 3.9733          |
| 3.8427        | 0.03  | 2900160 | 3.9728          |
| 3.8443        | 1.03  | 2976480 | 3.9724          |
| 3.8432        | 0.02  | 3052726 | 3.9721          |


### Framework versions

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