transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-case-lstm-1
  results: []
---

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# binding-case-lstm-1

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: 3.9755

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7924        | 0.03  | 76320   | 4.7602          |
| 4.5106        | 1.03  | 152640  | 4.4828          |
| 4.3686        | 0.03  | 228960  | 4.3484          |
| 4.2818        | 1.03  | 305280  | 4.2658          |
| 4.2208        | 0.03  | 381600  | 4.2087          |
| 4.1729        | 1.03  | 457920  | 4.1670          |
| 4.1377        | 0.03  | 534240  | 4.1359          |
| 4.1036        | 1.03  | 610560  | 4.1114          |
| 4.0772        | 0.03  | 686880  | 4.0917          |
| 4.051         | 1.03  | 763200  | 4.0758          |
| 4.0311        | 0.03  | 839520  | 4.0628          |
| 4.0151        | 0.03  | 915840  | 4.0517          |
| 3.9948        | 1.03  | 992160  | 4.0416          |
| 3.9796        | 0.03  | 1068480 | 4.0333          |
| 3.9696        | 1.03  | 1144800 | 4.0269          |
| 3.945         | 0.03  | 1221120 | 4.0201          |
| 3.9365        | 1.03  | 1297440 | 4.0150          |
| 3.9275        | 0.03  | 1373760 | 4.0102          |
| 3.9194        | 0.03  | 1450080 | 4.0059          |
| 3.9172        | 0.03  | 1526400 | 4.0027          |
| 3.9165        | 1.03  | 1602720 | 4.0003          |
| 3.9104        | 0.03  | 1679040 | 3.9976          |
| 3.9082        | 1.03  | 1755360 | 3.9950          |
| 3.9015        | 0.03  | 1831680 | 3.9927          |
| 3.8959        | 0.03  | 1908000 | 3.9904          |
| 3.8881        | 1.03  | 1984320 | 3.9886          |
| 3.8811        | 0.03  | 2060640 | 3.9868          |
| 3.8784        | 1.03  | 2136960 | 3.9854          |
| 3.8738        | 0.03  | 2213280 | 3.9841          |
| 3.8653        | 1.03  | 2289600 | 3.9826          |
| 3.8638        | 0.03  | 2365920 | 3.9815          |
| 3.85          | 1.03  | 2442240 | 3.9802          |
| 3.8455        | 0.03  | 2518560 | 3.9792          |
| 3.8444        | 1.03  | 2594880 | 3.9784          |
| 3.8434        | 0.03  | 2671200 | 3.9779          |
| 3.8441        | 0.03  | 2747520 | 3.9773          |
| 3.848         | 0.03  | 2823840 | 3.9766          |
| 3.8476        | 1.03  | 2900160 | 3.9761          |
| 3.8487        | 0.03  | 2976480 | 3.9758          |
| 3.8471        | 1.02  | 3052726 | 3.9755          |


### Framework versions

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