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-3
  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-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: 3.8650

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2244        | 0.03  | 76320   | 4.1909          |
| 4.0211        | 1.03  | 152640  | 4.0229          |
| 3.9159        | 0.03  | 228960  | 3.9493          |
| 3.8498        | 1.03  | 305280  | 3.9090          |
| 3.7991        | 0.03  | 381600  | 3.8841          |
| 3.7593        | 1.03  | 457920  | 3.8685          |
| 3.723         | 0.03  | 534240  | 3.8588          |
| 3.6924        | 1.03  | 610560  | 3.8515          |
| 3.6614        | 0.03  | 686880  | 3.8478          |
| 3.6384        | 1.03  | 763200  | 3.8438          |
| 3.615         | 0.03  | 839520  | 3.8439          |
| 3.5978        | 0.03  | 915840  | 3.8436          |
| 3.5793        | 1.03  | 992160  | 3.8439          |
| 3.5562        | 0.03  | 1068480 | 3.8438          |
| 3.5417        | 1.03  | 1144800 | 3.8447          |
| 3.5316        | 0.03  | 1221120 | 3.8448          |
| 3.5118        | 1.03  | 1297440 | 3.8462          |
| 3.4988        | 0.03  | 1373760 | 3.8479          |
| 3.487         | 1.03  | 1450080 | 3.8496          |
| 3.479         | 0.03  | 1526400 | 3.8513          |
| 3.4692        | 1.03  | 1602720 | 3.8529          |
| 3.461         | 0.03  | 1679040 | 3.8545          |
| 3.451         | 1.03  | 1755360 | 3.8554          |
| 3.4373        | 0.03  | 1831680 | 3.8589          |
| 3.4255        | 1.03  | 1908000 | 3.8589          |
| 3.4134        | 0.03  | 1984320 | 3.8601          |
| 3.4011        | 1.03  | 2060640 | 3.8621          |
| 3.3925        | 0.03  | 2136960 | 3.8635          |
| 3.3812        | 1.03  | 2213280 | 3.8640          |
| 3.37          | 0.03  | 2289600 | 3.8647          |
| 3.3613        | 1.03  | 2365920 | 3.8655          |
| 3.3524        | 0.03  | 2442240 | 3.8670          |
| 3.3382        | 1.03  | 2518560 | 3.8679          |
| 3.3299        | 0.03  | 2594880 | 3.8672          |
| 3.3211        | 1.03  | 2671200 | 3.8679          |
| 3.3176        | 0.03  | 2747520 | 3.8677          |
| 3.3103        | 1.03  | 2823840 | 3.8677          |
| 3.3062        | 0.03  | 2900160 | 3.8672          |
| 3.2996        | 1.03  | 2976480 | 3.8662          |
| 3.291         | 0.02  | 3052726 | 3.8650          |


### Framework versions

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