transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: re-irr-sv-agr-transformer-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# re-irr-sv-agr-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: 3.8837

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2207        | 0.03  | 76320   | 4.2149          |
| 4.0118        | 0.03  | 152640  | 4.0444          |
| 3.905         | 1.03  | 228960  | 3.9700          |
| 3.8377        | 0.03  | 305280  | 3.9284          |
| 3.7866        | 1.03  | 381600  | 3.9029          |
| 3.7487        | 0.03  | 457920  | 3.8875          |
| 3.7143        | 1.03  | 534240  | 3.8776          |
| 3.6817        | 0.03  | 610560  | 3.8704          |
| 3.6543        | 1.03  | 686880  | 3.8656          |
| 3.6302        | 0.03  | 763200  | 3.8644          |
| 3.6039        | 1.03  | 839520  | 3.8619          |
| 3.5885        | 0.03  | 915840  | 3.8621          |
| 3.5743        | 1.03  | 992160  | 3.8626          |
| 3.5508        | 0.03  | 1068480 | 3.8623          |
| 3.5341        | 0.03  | 1144800 | 3.8637          |
| 3.5187        | 1.03  | 1221120 | 3.8642          |
| 3.5007        | 0.03  | 1297440 | 3.8653          |
| 3.4857        | 1.03  | 1373760 | 3.8663          |
| 3.4733        | 0.03  | 1450080 | 3.8689          |
| 3.4644        | 1.03  | 1526400 | 3.8697          |
| 3.4563        | 0.03  | 1602720 | 3.8720          |
| 3.4494        | 1.03  | 1679040 | 3.8730          |
| 3.4406        | 0.03  | 1755360 | 3.8751          |
| 3.4292        | 1.03  | 1831680 | 3.8765          |
| 3.417         | 0.03  | 1908000 | 3.8777          |
| 3.4052        | 0.03  | 1984320 | 3.8789          |
| 3.3902        | 1.03  | 2060640 | 3.8804          |
| 3.3852        | 0.03  | 2136960 | 3.8814          |
| 3.3769        | 1.03  | 2213280 | 3.8831          |
| 3.3628        | 0.03  | 2289600 | 3.8843          |
| 3.3514        | 1.03  | 2365920 | 3.8848          |
| 3.3403        | 0.03  | 2442240 | 3.8864          |
| 3.3273        | 1.03  | 2518560 | 3.8858          |
| 3.3181        | 0.03  | 2594880 | 3.8867          |
| 3.3105        | 0.03  | 2671200 | 3.8869          |
| 3.3043        | 0.03  | 2747520 | 3.8869          |
| 3.2981        | 1.03  | 2823840 | 3.8864          |
| 3.2953        | 0.03  | 2900160 | 3.8864          |
| 3.2897        | 1.03  | 2976480 | 3.8851          |
| 3.2825        | 0.02  | 3052726 | 3.8837          |


### Framework versions

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