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-reconstruction-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-reconstruction-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: 3.8568

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2251        | 0.03  | 76320   | 4.1961          |
| 4.0217        | 1.03  | 152640  | 4.0263          |
| 3.9113        | 0.03  | 228960  | 3.9512          |
| 3.845         | 1.03  | 305280  | 3.9098          |
| 3.7952        | 0.03  | 381600  | 3.8847          |
| 3.7506        | 1.03  | 457920  | 3.8690          |
| 3.7172        | 0.03  | 534240  | 3.8581          |
| 3.6885        | 1.03  | 610560  | 3.8512          |
| 3.6612        | 0.03  | 686880  | 3.8465          |
| 3.6363        | 0.03  | 763200  | 3.8437          |
| 3.6152        | 1.03  | 839520  | 3.8421          |
| 3.5959        | 0.03  | 915840  | 3.8426          |
| 3.5758        | 1.03  | 992160  | 3.8422          |
| 3.5552        | 0.03  | 1068480 | 3.8419          |
| 3.5382        | 1.03  | 1144800 | 3.8440          |
| 3.5253        | 0.03  | 1221120 | 3.8441          |
| 3.5111        | 1.03  | 1297440 | 3.8450          |
| 3.4998        | 0.03  | 1373760 | 3.8470          |
| 3.4832        | 1.03  | 1450080 | 3.8483          |
| 3.4754        | 0.03  | 1526400 | 3.8490          |
| 3.4668        | 1.03  | 1602720 | 3.8499          |
| 3.4585        | 0.03  | 1679040 | 3.8526          |
| 3.4478        | 1.03  | 1755360 | 3.8536          |
| 3.4399        | 0.03  | 1831680 | 3.8538          |
| 3.4268        | 1.03  | 1908000 | 3.8557          |
| 3.4147        | 0.03  | 1984320 | 3.8563          |
| 3.4035        | 1.03  | 2060640 | 3.8571          |
| 3.3938        | 0.03  | 2136960 | 3.8578          |
| 3.3836        | 1.03  | 2213280 | 3.8590          |
| 3.3694        | 0.03  | 2289600 | 3.8594          |
| 3.3597        | 1.03  | 2365920 | 3.8598          |
| 3.3515        | 0.03  | 2442240 | 3.8609          |
| 3.3398        | 1.03  | 2518560 | 3.8605          |
| 3.332         | 0.03  | 2594880 | 3.8613          |
| 3.3229        | 1.03  | 2671200 | 3.8608          |
| 3.316         | 0.03  | 2747520 | 3.8610          |
| 3.3117        | 1.03  | 2823840 | 3.8607          |
| 3.3036        | 0.03  | 2900160 | 3.8601          |
| 3.2983        | 1.03  | 2976480 | 3.8590          |
| 3.2935        | 0.02  | 3052726 | 3.8568          |


### Framework versions

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