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-0
  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-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: 3.8619

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2251        | 0.03  | 76320   | 4.1916          |
| 4.0212        | 1.03  | 152640  | 4.0243          |
| 3.9155        | 0.03  | 228960  | 3.9505          |
| 3.8486        | 1.03  | 305280  | 3.9100          |
| 3.798         | 0.03  | 381600  | 3.8853          |
| 3.7567        | 1.03  | 457920  | 3.8697          |
| 3.721         | 0.03  | 534240  | 3.8591          |
| 3.6899        | 1.03  | 610560  | 3.8522          |
| 3.6612        | 0.03  | 686880  | 3.8477          |
| 3.6364        | 1.03  | 763200  | 3.8449          |
| 3.6144        | 0.03  | 839520  | 3.8441          |
| 3.5971        | 1.03  | 915840  | 3.8433          |
| 3.5764        | 0.03  | 992160  | 3.8434          |
| 3.5571        | 1.03  | 1068480 | 3.8442          |
| 3.5422        | 0.03  | 1144800 | 3.8439          |
| 3.5308        | 1.03  | 1221120 | 3.8451          |
| 3.5117        | 0.03  | 1297440 | 3.8469          |
| 3.4987        | 1.03  | 1373760 | 3.8489          |
| 3.4862        | 0.03  | 1450080 | 3.8485          |
| 3.4788        | 1.03  | 1526400 | 3.8503          |
| 3.4699        | 0.03  | 1602720 | 3.8529          |
| 3.4611        | 0.03  | 1679040 | 3.8530          |
| 3.4492        | 1.03  | 1755360 | 3.8553          |
| 3.4392        | 0.03  | 1831680 | 3.8567          |
| 3.4244        | 1.03  | 1908000 | 3.8576          |
| 3.4145        | 0.03  | 1984320 | 3.8595          |
| 3.4021        | 1.03  | 2060640 | 3.8608          |
| 3.3925        | 0.03  | 2136960 | 3.8611          |
| 3.3807        | 1.03  | 2213280 | 3.8616          |
| 3.3694        | 0.03  | 2289600 | 3.8628          |
| 3.3572        | 1.03  | 2365920 | 3.8642          |
| 3.3541        | 0.03  | 2442240 | 3.8648          |
| 3.3437        | 1.03  | 2518560 | 3.8643          |
| 3.3321        | 0.03  | 2594880 | 3.8649          |
| 3.3219        | 1.03  | 2671200 | 3.8653          |
| 3.3201        | 0.03  | 2747520 | 3.8654          |
| 3.3132        | 1.03  | 2823840 | 3.8646          |
| 3.3081        | 0.03  | 2900160 | 3.8641          |
| 3.3012        | 1.03  | 2976480 | 3.8633          |
| 3.292         | 0.02  | 3052726 | 3.8619          |


### Framework versions

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