---
tags:
- generated_from_trainer
model-index:
- name: binding-case-lstm-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# binding-case-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: 3.9732

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7896        | 0.03  | 76320   | 4.7570          |
| 4.5056        | 1.03  | 152640  | 4.4776          |
| 4.3639        | 0.03  | 228960  | 4.3428          |
| 4.2748        | 1.03  | 305280  | 4.2598          |
| 4.2152        | 0.03  | 381600  | 4.2038          |
| 4.1683        | 0.03  | 457920  | 4.1630          |
| 4.1315        | 1.03  | 534240  | 4.1321          |
| 4.0972        | 0.03  | 610560  | 4.1075          |
| 4.071         | 0.03  | 686880  | 4.0878          |
| 4.0465        | 1.03  | 763200  | 4.0719          |
| 4.0256        | 0.03  | 839520  | 4.0583          |
| 4.0112        | 1.03  | 915840  | 4.0480          |
| 3.9916        | 0.03  | 992160  | 4.0378          |
| 3.9742        | 1.03  | 1068480 | 4.0300          |
| 3.9673        | 0.03  | 1144800 | 4.0234          |
| 3.9429        | 1.03  | 1221120 | 4.0180          |
| 3.9312        | 0.03  | 1297440 | 4.0124          |
| 3.9237        | 1.03  | 1373760 | 4.0079          |
| 3.9162        | 0.03  | 1450080 | 4.0047          |
| 3.9118        | 1.03  | 1526400 | 4.0011          |
| 3.9087        | 0.03  | 1602720 | 3.9978          |
| 3.9046        | 1.03  | 1679040 | 3.9952          |
| 3.8998        | 0.03  | 1755360 | 3.9928          |
| 3.8938        | 1.03  | 1831680 | 3.9903          |
| 3.8883        | 0.03  | 1908000 | 3.9883          |
| 3.8836        | 1.03  | 1984320 | 3.9859          |
| 3.8759        | 0.03  | 2060640 | 3.9840          |
| 3.8724        | 1.03  | 2136960 | 3.9824          |
| 3.8654        | 0.03  | 2213280 | 3.9808          |
| 3.8605        | 1.03  | 2289600 | 3.9793          |
| 3.8586        | 0.03  | 2365920 | 3.9784          |
| 3.8453        | 1.03  | 2442240 | 3.9775          |
| 3.8408        | 0.03  | 2518560 | 3.9766          |
| 3.8392        | 1.03  | 2594880 | 3.9762          |
| 3.8369        | 0.03  | 2671200 | 3.9754          |
| 3.8385        | 1.03  | 2747520 | 3.9749          |
| 3.8411        | 0.03  | 2823840 | 3.9744          |
| 3.84          | 0.03  | 2900160 | 3.9740          |
| 3.8412        | 1.03  | 2976480 | 3.9735          |
| 3.842         | 0.02  | 3052726 | 3.9732          |


### Framework versions

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