transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-c-command-lstm-3
  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-3

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: 3.9746

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8032        | 0.03  | 76320   | 4.7698          |
| 4.5152        | 1.03  | 152640  | 4.4864          |
| 4.3711        | 0.03  | 228960  | 4.3506          |
| 4.2892        | 1.03  | 305280  | 4.2674          |
| 4.222         | 0.03  | 381600  | 4.2102          |
| 4.1767        | 1.03  | 457920  | 4.1684          |
| 4.1404        | 0.03  | 534240  | 4.1373          |
| 4.1085        | 1.03  | 610560  | 4.1126          |
| 4.0784        | 0.03  | 686880  | 4.0927          |
| 4.052         | 1.03  | 763200  | 4.0761          |
| 4.0277        | 0.03  | 839520  | 4.0630          |
| 4.0102        | 1.03  | 915840  | 4.0519          |
| 3.9951        | 0.03  | 992160  | 4.0420          |
| 3.9752        | 1.03  | 1068480 | 4.0341          |
| 3.9617        | 0.03  | 1144800 | 4.0268          |
| 3.9572        | 1.03  | 1221120 | 4.0204          |
| 3.9423        | 0.03  | 1297440 | 4.0155          |
| 3.9321        | 1.03  | 1373760 | 4.0107          |
| 3.9208        | 0.03  | 1450080 | 4.0065          |
| 3.9209        | 1.03  | 1526400 | 4.0030          |
| 3.9142        | 0.03  | 1602720 | 3.9997          |
| 3.9104        | 1.03  | 1679040 | 3.9965          |
| 3.9085        | 0.03  | 1755360 | 3.9946          |
| 3.9023        | 1.03  | 1831680 | 3.9916          |
| 3.8941        | 0.03  | 1908000 | 3.9899          |
| 3.8856        | 1.03  | 1984320 | 3.9882          |
| 3.8781        | 0.03  | 2060640 | 3.9864          |
| 3.8763        | 1.03  | 2136960 | 3.9849          |
| 3.872         | 0.03  | 2213280 | 3.9832          |
| 3.8641        | 1.03  | 2289600 | 3.9818          |
| 3.8562        | 0.03  | 2365920 | 3.9809          |
| 3.8585        | 1.03  | 2442240 | 3.9800          |
| 3.8521        | 0.03  | 2518560 | 3.9788          |
| 3.8498        | 1.03  | 2594880 | 3.9778          |
| 3.8436        | 0.03  | 2671200 | 3.9773          |
| 3.8497        | 1.03  | 2747520 | 3.9765          |
| 3.8471        | 0.03  | 2823840 | 3.9759          |
| 3.8485        | 0.03  | 2900160 | 3.9753          |
| 3.8521        | 0.03  | 2976480 | 3.9750          |
| 3.8498        | 1.02  | 3052726 | 3.9746          |


### Framework versions

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