transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-domain-transformer-1
  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-domain-transformer-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: 3.8640

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2283        | 0.03  | 76320   | 4.1941          |
| 4.0243        | 1.03  | 152640  | 4.0262          |
| 3.9173        | 0.03  | 228960  | 3.9514          |
| 3.8504        | 1.03  | 305280  | 3.9111          |
| 3.7979        | 0.03  | 381600  | 3.8853          |
| 3.7588        | 1.03  | 457920  | 3.8699          |
| 3.7224        | 0.03  | 534240  | 3.8585          |
| 3.6906        | 1.03  | 610560  | 3.8527          |
| 3.6618        | 0.03  | 686880  | 3.8482          |
| 3.6386        | 1.03  | 763200  | 3.8459          |
| 3.6152        | 0.03  | 839520  | 3.8439          |
| 3.5967        | 1.03  | 915840  | 3.8431          |
| 3.5763        | 0.03  | 992160  | 3.8437          |
| 3.5566        | 1.03  | 1068480 | 3.8448          |
| 3.5413        | 0.03  | 1144800 | 3.8449          |
| 3.5279        | 1.03  | 1221120 | 3.8464          |
| 3.5106        | 0.03  | 1297440 | 3.8481          |
| 3.4966        | 1.03  | 1373760 | 3.8490          |
| 3.4844        | 0.03  | 1450080 | 3.8513          |
| 3.4781        | 1.03  | 1526400 | 3.8521          |
| 3.4691        | 0.03  | 1602720 | 3.8546          |
| 3.4597        | 1.03  | 1679040 | 3.8549          |
| 3.4479        | 0.03  | 1755360 | 3.8568          |
| 3.4377        | 0.03  | 1831680 | 3.8569          |
| 3.4244        | 1.03  | 1908000 | 3.8591          |
| 3.4133        | 0.03  | 1984320 | 3.8610          |
| 3.4017        | 1.03  | 2060640 | 3.8621          |
| 3.3917        | 0.03  | 2136960 | 3.8624          |
| 3.3815        | 1.03  | 2213280 | 3.8639          |
| 3.3687        | 0.03  | 2289600 | 3.8646          |
| 3.359         | 1.03  | 2365920 | 3.8655          |
| 3.3507        | 0.03  | 2442240 | 3.8657          |
| 3.3372        | 1.03  | 2518560 | 3.8672          |
| 3.3274        | 0.03  | 2594880 | 3.8672          |
| 3.3177        | 1.03  | 2671200 | 3.8677          |
| 3.3143        | 0.03  | 2747520 | 3.8678          |
| 3.3102        | 1.03  | 2823840 | 3.8670          |
| 3.3059        | 0.03  | 2900160 | 3.8662          |
| 3.2984        | 1.03  | 2976480 | 3.8647          |
| 3.2904        | 0.02  | 3052726 | 3.8640          |


### Framework versions

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