transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-c-command-lstm-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# binding-c-command-lstm-1

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: 3.9732

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7924        | 0.03  | 76320   | 4.7590          |
| 4.5076        | 1.03  | 152640  | 4.4794          |
| 4.3635        | 0.03  | 228960  | 4.3457          |
| 4.2825        | 1.03  | 305280  | 4.2627          |
| 4.2163        | 0.03  | 381600  | 4.2058          |
| 4.1714        | 1.03  | 457920  | 4.1649          |
| 4.1359        | 0.03  | 534240  | 4.1339          |
| 4.1036        | 1.03  | 610560  | 4.1092          |
| 4.0733        | 0.03  | 686880  | 4.0896          |
| 4.0483        | 1.03  | 763200  | 4.0740          |
| 4.0264        | 0.03  | 839520  | 4.0605          |
| 4.011         | 1.03  | 915840  | 4.0498          |
| 3.9946        | 0.03  | 992160  | 4.0398          |
| 3.9757        | 0.03  | 1068480 | 4.0325          |
| 3.964         | 1.03  | 1144800 | 4.0262          |
| 3.9564        | 0.03  | 1221120 | 4.0204          |
| 3.9407        | 1.03  | 1297440 | 4.0146          |
| 3.9317        | 0.03  | 1373760 | 4.0099          |
| 3.9202        | 1.03  | 1450080 | 4.0062          |
| 3.9207        | 0.03  | 1526400 | 4.0023          |
| 3.9122        | 1.03  | 1602720 | 3.9987          |
| 3.9095        | 0.03  | 1679040 | 3.9954          |
| 3.9077        | 1.03  | 1755360 | 3.9931          |
| 3.9027        | 0.03  | 1831680 | 3.9912          |
| 3.8933        | 1.03  | 1908000 | 3.9891          |
| 3.8845        | 0.03  | 1984320 | 3.9871          |
| 3.8782        | 1.03  | 2060640 | 3.9853          |
| 3.8748        | 0.03  | 2136960 | 3.9838          |
| 3.8704        | 1.03  | 2213280 | 3.9826          |
| 3.861         | 0.03  | 2289600 | 3.9810          |
| 3.8563        | 1.03  | 2365920 | 3.9800          |
| 3.8586        | 0.03  | 2442240 | 3.9790          |
| 3.8525        | 1.03  | 2518560 | 3.9783          |
| 3.8489        | 0.03  | 2594880 | 3.9772          |
| 3.8414        | 0.03  | 2671200 | 3.9763          |
| 3.8459        | 1.03  | 2747520 | 3.9756          |
| 3.8454        | 0.03  | 2823840 | 3.9747          |
| 3.8468        | 1.03  | 2900160 | 3.9741          |
| 3.8482        | 0.03  | 2976480 | 3.9735          |
| 3.8479        | 1.02  | 3052726 | 3.9732          |


### Framework versions

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