transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-c-command-lstm-0
  results: []
---

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# binding-c-command-lstm-0

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: 3.9699

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7849        | 0.03  | 76320   | 4.7520          |
| 4.4971        | 1.03  | 152640  | 4.4703          |
| 4.3536        | 0.03  | 228960  | 4.3355          |
| 4.2709        | 1.03  | 305280  | 4.2524          |
| 4.206         | 0.03  | 381600  | 4.1975          |
| 4.1616        | 1.03  | 457920  | 4.1573          |
| 4.1284        | 0.03  | 534240  | 4.1268          |
| 4.0967        | 1.03  | 610560  | 4.1031          |
| 4.0659        | 0.03  | 686880  | 4.0840          |
| 4.0401        | 1.03  | 763200  | 4.0679          |
| 4.0167        | 0.03  | 839520  | 4.0552          |
| 4.0005        | 1.03  | 915840  | 4.0439          |
| 3.9844        | 0.03  | 992160  | 4.0350          |
| 3.9656        | 1.03  | 1068480 | 4.0262          |
| 3.9508        | 0.03  | 1144800 | 4.0199          |
| 3.9442        | 1.03  | 1221120 | 4.0137          |
| 3.9318        | 0.03  | 1297440 | 4.0092          |
| 3.9226        | 1.03  | 1373760 | 4.0047          |
| 3.9116        | 0.03  | 1450080 | 4.0008          |
| 3.91          | 0.03  | 1526400 | 3.9970          |
| 3.9028        | 1.03  | 1602720 | 3.9944          |
| 3.8998        | 0.03  | 1679040 | 3.9919          |
| 3.8979        | 1.03  | 1755360 | 3.9885          |
| 3.893         | 0.03  | 1831680 | 3.9866          |
| 3.8854        | 1.03  | 1908000 | 3.9844          |
| 3.8768        | 0.03  | 1984320 | 3.9829          |
| 3.8695        | 1.03  | 2060640 | 3.9813          |
| 3.8658        | 0.03  | 2136960 | 3.9796          |
| 3.8615        | 1.03  | 2213280 | 3.9785          |
| 3.8517        | 0.03  | 2289600 | 3.9774          |
| 3.8459        | 1.03  | 2365920 | 3.9757          |
| 3.8477        | 0.03  | 2442240 | 3.9747          |
| 3.8416        | 1.03  | 2518560 | 3.9740          |
| 3.8388        | 0.03  | 2594880 | 3.9732          |
| 3.8335        | 1.03  | 2671200 | 3.9725          |
| 3.8381        | 0.03  | 2747520 | 3.9716          |
| 3.8357        | 1.03  | 2823840 | 3.9712          |
| 3.8372        | 0.03  | 2900160 | 3.9706          |
| 3.8402        | 0.03  | 2976480 | 3.9704          |
| 3.841         | 1.02  | 3052726 | 3.9699          |


### Framework versions

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