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

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# binding-c-command-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: 3.9687

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7856        | 0.03  | 76320   | 4.7511          |
| 4.4985        | 1.03  | 152640  | 4.4704          |
| 4.3544        | 0.03  | 228960  | 4.3357          |
| 4.2708        | 1.03  | 305280  | 4.2525          |
| 4.2053        | 0.03  | 381600  | 4.1959          |
| 4.1611        | 1.03  | 457920  | 4.1555          |
| 4.1268        | 0.03  | 534240  | 4.1252          |
| 4.095         | 1.03  | 610560  | 4.1008          |
| 4.065         | 0.03  | 686880  | 4.0814          |
| 4.0414        | 1.03  | 763200  | 4.0668          |
| 4.0161        | 0.03  | 839520  | 4.0543          |
| 4.0017        | 1.03  | 915840  | 4.0434          |
| 3.9845        | 0.03  | 992160  | 4.0340          |
| 3.965         | 1.03  | 1068480 | 4.0263          |
| 3.9529        | 0.03  | 1144800 | 4.0194          |
| 3.9447        | 1.03  | 1221120 | 4.0126          |
| 3.9305        | 0.03  | 1297440 | 4.0084          |
| 3.9213        | 1.03  | 1373760 | 4.0040          |
| 3.9105        | 0.03  | 1450080 | 4.0001          |
| 3.9091        | 1.03  | 1526400 | 3.9960          |
| 3.9015        | 0.03  | 1602720 | 3.9935          |
| 3.8989        | 1.03  | 1679040 | 3.9909          |
| 3.8955        | 0.03  | 1755360 | 3.9881          |
| 3.8936        | 1.03  | 1831680 | 3.9862          |
| 3.8824        | 0.03  | 1908000 | 3.9842          |
| 3.8737        | 1.03  | 1984320 | 3.9818          |
| 3.8655        | 0.03  | 2060640 | 3.9800          |
| 3.8649        | 1.03  | 2136960 | 3.9790          |
| 3.8601        | 0.03  | 2213280 | 3.9775          |
| 3.852         | 1.03  | 2289600 | 3.9766          |
| 3.845         | 0.03  | 2365920 | 3.9753          |
| 3.8457        | 1.03  | 2442240 | 3.9744          |
| 3.8399        | 0.03  | 2518560 | 3.9734          |
| 3.8385        | 1.03  | 2594880 | 3.9727          |
| 3.8308        | 0.03  | 2671200 | 3.9718          |
| 3.8376        | 1.03  | 2747520 | 3.9709          |
| 3.8319        | 0.03  | 2823840 | 3.9702          |
| 3.8359        | 1.03  | 2900160 | 3.9696          |
| 3.8381        | 0.03  | 2976480 | 3.9691          |
| 3.8358        | 1.02  | 3052726 | 3.9687          |


### Framework versions

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