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-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-reconstruction-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: 3.8621

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2206        | 0.03  | 76320   | 4.1901          |
| 4.0178        | 1.03  | 152640  | 4.0234          |
| 3.9098        | 0.03  | 228960  | 3.9508          |
| 3.8438        | 1.03  | 305280  | 3.9098          |
| 3.7929        | 0.03  | 381600  | 3.8847          |
| 3.7494        | 1.03  | 457920  | 3.8683          |
| 3.7159        | 0.03  | 534240  | 3.8584          |
| 3.6858        | 1.03  | 610560  | 3.8511          |
| 3.6559        | 0.03  | 686880  | 3.8468          |
| 3.6321        | 1.03  | 763200  | 3.8439          |
| 3.6094        | 0.03  | 839520  | 3.8424          |
| 3.5902        | 1.03  | 915840  | 3.8424          |
| 3.5733        | 0.03  | 992160  | 3.8425          |
| 3.5507        | 1.03  | 1068480 | 3.8431          |
| 3.5348        | 0.03  | 1144800 | 3.8440          |
| 3.5237        | 1.03  | 1221120 | 3.8445          |
| 3.5094        | 0.03  | 1297440 | 3.8463          |
| 3.497         | 1.03  | 1373760 | 3.8475          |
| 3.4813        | 0.03  | 1450080 | 3.8481          |
| 3.4746        | 1.03  | 1526400 | 3.8503          |
| 3.4671        | 0.03  | 1602720 | 3.8508          |
| 3.4557        | 1.03  | 1679040 | 3.8527          |
| 3.4454        | 0.03  | 1755360 | 3.8548          |
| 3.4347        | 1.03  | 1831680 | 3.8553          |
| 3.4235        | 0.03  | 1908000 | 3.8566          |
| 3.4107        | 1.03  | 1984320 | 3.8586          |
| 3.3995        | 0.03  | 2060640 | 3.8590          |
| 3.388         | 0.03  | 2136960 | 3.8619          |
| 3.3789        | 1.03  | 2213280 | 3.8607          |
| 3.3653        | 0.03  | 2289600 | 3.8623          |
| 3.3553        | 1.03  | 2365920 | 3.8639          |
| 3.3487        | 0.03  | 2442240 | 3.8639          |
| 3.3377        | 1.03  | 2518560 | 3.8648          |
| 3.3291        | 0.03  | 2594880 | 3.8641          |
| 3.319         | 1.03  | 2671200 | 3.8644          |
| 3.314         | 0.03  | 2747520 | 3.8648          |
| 3.3079        | 1.03  | 2823840 | 3.8651          |
| 3.3015        | 0.03  | 2900160 | 3.8642          |
| 3.296         | 0.03  | 2976480 | 3.8631          |
| 3.2879        | 0.02  | 3052726 | 3.8621          |


### Framework versions

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