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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# binding-reconstruction-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: 3.9711

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7992        | 0.03  | 76320   | 4.7644          |
| 4.5125        | 1.03  | 152640  | 4.4847          |
| 4.3702        | 0.03  | 228960  | 4.3492          |
| 4.2826        | 1.03  | 305280  | 4.2646          |
| 4.2213        | 0.03  | 381600  | 4.2080          |
| 4.1709        | 1.03  | 457920  | 4.1664          |
| 4.1309        | 0.03  | 534240  | 4.1344          |
| 4.0996        | 1.03  | 610560  | 4.1099          |
| 4.0726        | 0.03  | 686880  | 4.0901          |
| 4.0467        | 0.03  | 763200  | 4.0744          |
| 4.0258        | 1.03  | 839520  | 4.0606          |
| 4.0085        | 0.03  | 915840  | 4.0495          |
| 3.9942        | 0.03  | 992160  | 4.0401          |
| 3.9738        | 1.03  | 1068480 | 4.0315          |
| 3.9598        | 0.03  | 1144800 | 4.0241          |
| 3.9496        | 1.03  | 1221120 | 4.0183          |
| 3.9373        | 0.03  | 1297440 | 4.0131          |
| 3.9283        | 1.03  | 1373760 | 4.0088          |
| 3.9186        | 0.03  | 1450080 | 4.0037          |
| 3.9159        | 1.03  | 1526400 | 4.0002          |
| 3.9113        | 0.03  | 1602720 | 3.9975          |
| 3.9049        | 1.03  | 1679040 | 3.9944          |
| 3.8979        | 0.03  | 1755360 | 3.9918          |
| 3.8934        | 1.03  | 1831680 | 3.9899          |
| 3.8865        | 0.03  | 1908000 | 3.9874          |
| 3.8783        | 1.03  | 1984320 | 3.9855          |
| 3.8751        | 0.03  | 2060640 | 3.9838          |
| 3.8705        | 1.03  | 2136960 | 3.9821          |
| 3.865         | 0.03  | 2213280 | 3.9805          |
| 3.8558        | 1.03  | 2289600 | 3.9784          |
| 3.8509        | 0.03  | 2365920 | 3.9774          |
| 3.8505        | 1.03  | 2442240 | 3.9761          |
| 3.8449        | 0.03  | 2518560 | 3.9752          |
| 3.8438        | 1.03  | 2594880 | 3.9743          |
| 3.8394        | 0.03  | 2671200 | 3.9737          |
| 3.8414        | 1.03  | 2747520 | 3.9730          |
| 3.8425        | 0.03  | 2823840 | 3.9724          |
| 3.8403        | 1.03  | 2900160 | 3.9719          |
| 3.8389        | 0.03  | 2976480 | 3.9715          |
| 3.8378        | 1.02  | 3052726 | 3.9711          |


### Framework versions

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