---
tags:
- generated_from_trainer
model-index:
- name: binding-reconstruction-lstm-3
  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-reconstruction-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: 3.9719

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7957        | 0.03  | 76320   | 4.7633          |
| 4.5072        | 1.03  | 152640  | 4.4796          |
| 4.3632        | 0.03  | 228960  | 4.3437          |
| 4.278         | 1.03  | 305280  | 4.2603          |
| 4.2149        | 0.03  | 381600  | 4.2036          |
| 4.1648        | 1.03  | 457920  | 4.1627          |
| 4.1243        | 0.03  | 534240  | 4.1298          |
| 4.095         | 1.03  | 610560  | 4.1066          |
| 4.0668        | 0.03  | 686880  | 4.0871          |
| 4.041         | 0.03  | 763200  | 4.0715          |
| 4.0223        | 1.03  | 839520  | 4.0583          |
| 4.0048        | 0.03  | 915840  | 4.0469          |
| 3.9912        | 1.03  | 992160  | 4.0381          |
| 3.9716        | 0.03  | 1068480 | 4.0302          |
| 3.9585        | 1.03  | 1144800 | 4.0235          |
| 3.946         | 0.03  | 1221120 | 4.0170          |
| 3.9354        | 1.03  | 1297440 | 4.0121          |
| 3.9277        | 0.03  | 1373760 | 4.0072          |
| 3.916         | 1.03  | 1450080 | 4.0027          |
| 3.9153        | 0.03  | 1526400 | 3.9997          |
| 3.9091        | 1.03  | 1602720 | 3.9968          |
| 3.9025        | 0.03  | 1679040 | 3.9943          |
| 3.8967        | 1.03  | 1755360 | 3.9919          |
| 3.8932        | 0.03  | 1831680 | 3.9897          |
| 3.8843        | 1.03  | 1908000 | 3.9872          |
| 3.8776        | 0.03  | 1984320 | 3.9852          |
| 3.8712        | 1.03  | 2060640 | 3.9835          |
| 3.8692        | 0.03  | 2136960 | 3.9816          |
| 3.8637        | 1.03  | 2213280 | 3.9802          |
| 3.8561        | 0.03  | 2289600 | 3.9790          |
| 3.8503        | 1.03  | 2365920 | 3.9779          |
| 3.8498        | 0.03  | 2442240 | 3.9769          |
| 3.8463        | 1.03  | 2518560 | 3.9763          |
| 3.8421        | 0.03  | 2594880 | 3.9754          |
| 3.8384        | 1.03  | 2671200 | 3.9747          |
| 3.841         | 0.03  | 2747520 | 3.9740          |
| 3.8419        | 1.03  | 2823840 | 3.9734          |
| 3.84          | 0.03  | 2900160 | 3.9728          |
| 3.8397        | 1.03  | 2976480 | 3.9724          |
| 3.8387        | 0.02  | 3052726 | 3.9719          |


### Framework versions

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