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-2
  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-2

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: 3.8659

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2276        | 0.03  | 76320   | 4.1937          |
| 4.0221        | 1.03  | 152640  | 4.0258          |
| 3.917         | 0.03  | 228960  | 3.9517          |
| 3.8491        | 1.03  | 305280  | 3.9105          |
| 3.7965        | 0.03  | 381600  | 3.8860          |
| 3.7573        | 1.03  | 457920  | 3.8702          |
| 3.7219        | 0.03  | 534240  | 3.8600          |
| 3.6917        | 1.03  | 610560  | 3.8541          |
| 3.6619        | 0.03  | 686880  | 3.8495          |
| 3.6396        | 1.03  | 763200  | 3.8465          |
| 3.6165        | 0.03  | 839520  | 3.8450          |
| 3.5984        | 1.03  | 915840  | 3.8442          |
| 3.5791        | 0.03  | 992160  | 3.8442          |
| 3.5605        | 1.03  | 1068480 | 3.8453          |
| 3.5437        | 0.03  | 1144800 | 3.8452          |
| 3.531         | 1.03  | 1221120 | 3.8468          |
| 3.5134        | 0.03  | 1297440 | 3.8476          |
| 3.5002        | 1.03  | 1373760 | 3.8490          |
| 3.488         | 0.03  | 1450080 | 3.8498          |
| 3.4789        | 1.03  | 1526400 | 3.8523          |
| 3.4715        | 0.03  | 1602720 | 3.8532          |
| 3.4617        | 1.03  | 1679040 | 3.8542          |
| 3.4509        | 0.03  | 1755360 | 3.8560          |
| 3.438         | 1.03  | 1831680 | 3.8573          |
| 3.4261        | 0.03  | 1908000 | 3.8588          |
| 3.4151        | 1.03  | 1984320 | 3.8602          |
| 3.4028        | 0.03  | 2060640 | 3.8614          |
| 3.394         | 1.03  | 2136960 | 3.8629          |
| 3.3829        | 0.03  | 2213280 | 3.8648          |
| 3.3686        | 1.03  | 2289600 | 3.8665          |
| 3.3607        | 0.03  | 2365920 | 3.8675          |
| 3.354         | 1.03  | 2442240 | 3.8665          |
| 3.3404        | 0.03  | 2518560 | 3.8689          |
| 3.3305        | 1.03  | 2594880 | 3.8691          |
| 3.3217        | 0.03  | 2671200 | 3.8689          |
| 3.3194        | 1.03  | 2747520 | 3.8685          |
| 3.3101        | 0.03  | 2823840 | 3.8685          |
| 3.307         | 1.03  | 2900160 | 3.8682          |
| 3.2995        | 0.03  | 2976480 | 3.8675          |
| 3.2912        | 1.02  | 3052726 | 3.8659          |


### Framework versions

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