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-case-transformer-1
  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-case-transformer-1

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: 3.8678

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2219        | 0.03  | 76320   | 4.1938          |
| 4.0179        | 1.03  | 152640  | 4.0262          |
| 3.9092        | 0.03  | 228960  | 3.9526          |
| 3.8414        | 1.03  | 305280  | 3.9123          |
| 3.7919        | 0.03  | 381600  | 3.8867          |
| 3.7493        | 0.03  | 457920  | 3.8702          |
| 3.7175        | 1.03  | 534240  | 3.8604          |
| 3.6858        | 0.03  | 610560  | 3.8531          |
| 3.6577        | 1.03  | 686880  | 3.8489          |
| 3.6345        | 0.03  | 763200  | 3.8470          |
| 3.6116        | 1.03  | 839520  | 3.8456          |
| 3.5916        | 0.03  | 915840  | 3.8445          |
| 3.5708        | 1.03  | 992160  | 3.8453          |
| 3.5505        | 0.03  | 1068480 | 3.8457          |
| 3.5405        | 1.03  | 1144800 | 3.8465          |
| 3.5146        | 0.03  | 1221120 | 3.8490          |
| 3.5001        | 1.03  | 1297440 | 3.8498          |
| 3.4886        | 0.03  | 1373760 | 3.8505          |
| 3.4754        | 0.03  | 1450080 | 3.8507          |
| 3.468         | 1.03  | 1526400 | 3.8542          |
| 3.4602        | 0.03  | 1602720 | 3.8564          |
| 3.4504        | 1.03  | 1679040 | 3.8568          |
| 3.4461        | 0.03  | 1755360 | 3.8582          |
| 3.431         | 1.03  | 1831680 | 3.8594          |
| 3.42          | 0.03  | 1908000 | 3.8629          |
| 3.4085        | 0.03  | 1984320 | 3.8640          |
| 3.3963        | 1.03  | 2060640 | 3.8660          |
| 3.3869        | 0.03  | 2136960 | 3.8671          |
| 3.3743        | 1.03  | 2213280 | 3.8683          |
| 3.3643        | 0.03  | 2289600 | 3.8694          |
| 3.356         | 1.03  | 2365920 | 3.8698          |
| 3.3363        | 0.03  | 2442240 | 3.8715          |
| 3.3256        | 1.03  | 2518560 | 3.8716          |
| 3.3198        | 0.03  | 2594880 | 3.8724          |
| 3.311         | 1.03  | 2671200 | 3.8732          |
| 3.305         | 0.03  | 2747520 | 3.8721          |
| 3.3007        | 1.03  | 2823840 | 3.8715          |
| 3.2956        | 0.03  | 2900160 | 3.8708          |
| 3.294         | 1.03  | 2976480 | 3.8698          |
| 3.2848        | 0.02  | 3052726 | 3.8678          |


### Framework versions

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