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-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-reconstruction-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: 3.8638

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2253        | 0.03  | 76320   | 4.1964          |
| 4.0228        | 1.03  | 152640  | 4.0266          |
| 3.9157        | 0.03  | 228960  | 3.9516          |
| 3.8486        | 1.03  | 305280  | 3.9105          |
| 3.7978        | 0.03  | 381600  | 3.8859          |
| 3.7536        | 1.03  | 457920  | 3.8699          |
| 3.7183        | 0.03  | 534240  | 3.8593          |
| 3.6884        | 1.03  | 610560  | 3.8526          |
| 3.6601        | 0.03  | 686880  | 3.8483          |
| 3.6344        | 1.03  | 763200  | 3.8464          |
| 3.6123        | 0.03  | 839520  | 3.8455          |
| 3.5925        | 1.03  | 915840  | 3.8444          |
| 3.5758        | 0.03  | 992160  | 3.8435          |
| 3.5527        | 1.03  | 1068480 | 3.8457          |
| 3.5374        | 0.03  | 1144800 | 3.8461          |
| 3.528         | 1.03  | 1221120 | 3.8475          |
| 3.5125        | 0.03  | 1297440 | 3.8483          |
| 3.5002        | 0.03  | 1373760 | 3.8494          |
| 3.4838        | 1.03  | 1450080 | 3.8508          |
| 3.4768        | 0.03  | 1526400 | 3.8525          |
| 3.4688        | 0.03  | 1602720 | 3.8548          |
| 3.457         | 0.03  | 1679040 | 3.8556          |
| 3.4477        | 0.03  | 1755360 | 3.8581          |
| 3.4351        | 1.03  | 1831680 | 3.8581          |
| 3.4256        | 0.03  | 1908000 | 3.8598          |
| 3.4128        | 1.03  | 1984320 | 3.8602          |
| 3.4017        | 0.03  | 2060640 | 3.8627          |
| 3.3897        | 1.03  | 2136960 | 3.8638          |
| 3.3799        | 0.03  | 2213280 | 3.8650          |
| 3.3662        | 1.03  | 2289600 | 3.8648          |
| 3.3565        | 0.03  | 2365920 | 3.8661          |
| 3.3525        | 0.03  | 2442240 | 3.8655          |
| 3.3425        | 1.03  | 2518560 | 3.8671          |
| 3.3317        | 0.03  | 2594880 | 3.8686          |
| 3.3237        | 1.03  | 2671200 | 3.8676          |
| 3.3181        | 0.03  | 2747520 | 3.8682          |
| 3.3121        | 0.03  | 2823840 | 3.8675          |
| 3.3054        | 0.03  | 2900160 | 3.8668          |
| 3.2972        | 1.03  | 2976480 | 3.8659          |
| 3.2905        | 0.02  | 3052726 | 3.8638          |


### Framework versions

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