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-4
  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-4

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: 3.8582

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.226         | 0.03  | 76320   | 4.1915          |
| 4.0213        | 1.03  | 152640  | 4.0234          |
| 3.9161        | 0.03  | 228960  | 3.9497          |
| 3.8489        | 1.03  | 305280  | 3.9084          |
| 3.7957        | 0.03  | 381600  | 3.8838          |
| 3.7572        | 1.03  | 457920  | 3.8675          |
| 3.7211        | 0.03  | 534240  | 3.8573          |
| 3.6912        | 1.03  | 610560  | 3.8499          |
| 3.6594        | 0.03  | 686880  | 3.8459          |
| 3.6379        | 0.03  | 763200  | 3.8440          |
| 3.6134        | 1.03  | 839520  | 3.8428          |
| 3.5959        | 0.03  | 915840  | 3.8417          |
| 3.5766        | 1.03  | 992160  | 3.8407          |
| 3.557         | 0.03  | 1068480 | 3.8415          |
| 3.5417        | 1.03  | 1144800 | 3.8420          |
| 3.5296        | 0.03  | 1221120 | 3.8431          |
| 3.5121        | 1.03  | 1297440 | 3.8434          |
| 3.4985        | 0.03  | 1373760 | 3.8460          |
| 3.4868        | 1.03  | 1450080 | 3.8457          |
| 3.4784        | 0.03  | 1526400 | 3.8484          |
| 3.4709        | 1.03  | 1602720 | 3.8486          |
| 3.463         | 0.03  | 1679040 | 3.8508          |
| 3.4519        | 1.03  | 1755360 | 3.8514          |
| 3.4409        | 0.03  | 1831680 | 3.8525          |
| 3.4273        | 1.03  | 1908000 | 3.8540          |
| 3.4158        | 0.03  | 1984320 | 3.8543          |
| 3.4037        | 1.03  | 2060640 | 3.8560          |
| 3.3967        | 0.03  | 2136960 | 3.8576          |
| 3.385         | 1.03  | 2213280 | 3.8575          |
| 3.3721        | 0.03  | 2289600 | 3.8587          |
| 3.3609        | 1.03  | 2365920 | 3.8594          |
| 3.3544        | 0.03  | 2442240 | 3.8593          |
| 3.3399        | 0.03  | 2518560 | 3.8608          |
| 3.3327        | 1.03  | 2594880 | 3.8604          |
| 3.324         | 0.03  | 2671200 | 3.8607          |
| 3.3185        | 1.03  | 2747520 | 3.8611          |
| 3.3142        | 0.03  | 2823840 | 3.8610          |
| 3.3078        | 0.03  | 2900160 | 3.8606          |
| 3.3017        | 1.03  | 2976480 | 3.8596          |
| 3.2938        | 0.02  | 3052726 | 3.8582          |


### Framework versions

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