transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-c-command-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-c-command-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: 3.9703

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7904        | 0.03  | 76320   | 4.7577          |
| 4.5063        | 1.03  | 152640  | 4.4774          |
| 4.3601        | 0.03  | 228960  | 4.3427          |
| 4.2774        | 1.03  | 305280  | 4.2602          |
| 4.2116        | 0.03  | 381600  | 4.2029          |
| 4.1665        | 1.03  | 457920  | 4.1612          |
| 4.1321        | 0.03  | 534240  | 4.1300          |
| 4.1002        | 1.03  | 610560  | 4.1050          |
| 4.0704        | 0.03  | 686880  | 4.0860          |
| 4.0439        | 1.03  | 763200  | 4.0705          |
| 4.0207        | 0.03  | 839520  | 4.0568          |
| 4.0047        | 0.03  | 915840  | 4.0452          |
| 3.9886        | 1.03  | 992160  | 4.0357          |
| 3.9684        | 0.03  | 1068480 | 4.0276          |
| 3.9554        | 1.03  | 1144800 | 4.0209          |
| 3.9508        | 0.03  | 1221120 | 4.0152          |
| 3.9356        | 1.03  | 1297440 | 4.0093          |
| 3.9269        | 0.03  | 1373760 | 4.0046          |
| 3.9144        | 1.03  | 1450080 | 4.0006          |
| 3.9144        | 0.03  | 1526400 | 3.9979          |
| 3.908         | 1.03  | 1602720 | 3.9949          |
| 3.9052        | 0.03  | 1679040 | 3.9918          |
| 3.9019        | 1.03  | 1755360 | 3.9885          |
| 3.898         | 0.03  | 1831680 | 3.9864          |
| 3.8884        | 1.03  | 1908000 | 3.9841          |
| 3.8813        | 0.03  | 1984320 | 3.9822          |
| 3.8727        | 1.03  | 2060640 | 3.9810          |
| 3.8707        | 0.03  | 2136960 | 3.9796          |
| 3.8652        | 1.03  | 2213280 | 3.9786          |
| 3.8564        | 0.03  | 2289600 | 3.9770          |
| 3.8508        | 1.03  | 2365920 | 3.9762          |
| 3.8531        | 0.03  | 2442240 | 3.9751          |
| 3.8475        | 1.03  | 2518560 | 3.9741          |
| 3.8449        | 0.03  | 2594880 | 3.9733          |
| 3.8368        | 1.03  | 2671200 | 3.9726          |
| 3.8435        | 0.03  | 2747520 | 3.9720          |
| 3.8411        | 1.03  | 2823840 | 3.9714          |
| 3.8422        | 0.03  | 2900160 | 3.9710          |
| 3.8453        | 1.03  | 2976480 | 3.9706          |
| 3.8448        | 0.02  | 3052726 | 3.9703          |


### Framework versions

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