---
tags:
- generated_from_trainer
model-index:
- name: re-irr-sv-agr-lstm-4
  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. -->

# re-irr-sv-agr-lstm-4

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: 3.9938

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7916        | 0.03  | 76320   | 4.7805          |
| 4.5106        | 0.03  | 152640  | 4.5042          |
| 4.3687        | 1.03  | 228960  | 4.3690          |
| 4.282         | 0.03  | 305280  | 4.2855          |
| 4.2204        | 1.03  | 381600  | 4.2284          |
| 4.1737        | 2.03  | 457920  | 4.1873          |
| 4.1366        | 0.03  | 534240  | 4.1550          |
| 4.1015        | 0.03  | 610560  | 4.1299          |
| 4.0739        | 1.03  | 686880  | 4.1107          |
| 4.0515        | 0.03  | 763200  | 4.0948          |
| 4.0275        | 1.03  | 839520  | 4.0810          |
| 4.0138        | 0.03  | 915840  | 4.0696          |
| 4.0006        | 1.03  | 992160  | 4.0597          |
| 3.9824        | 0.03  | 1068480 | 4.0520          |
| 3.9684        | 0.03  | 1144800 | 4.0457          |
| 3.9512        | 0.03  | 1221120 | 4.0393          |
| 3.9369        | 1.03  | 1297440 | 4.0337          |
| 3.9286        | 0.03  | 1373760 | 4.0297          |
| 3.9193        | 1.03  | 1450080 | 4.0260          |
| 3.917         | 0.03  | 1526400 | 4.0221          |
| 3.9122        | 1.03  | 1602720 | 4.0187          |
| 3.9092        | 0.03  | 1679040 | 4.0155          |
| 3.9045        | 1.03  | 1755360 | 4.0130          |
| 3.8976        | 2.03  | 1831680 | 4.0111          |
| 3.8924        | 0.03  | 1908000 | 4.0091          |
| 3.8857        | 1.03  | 1984320 | 4.0067          |
| 3.8781        | 0.03  | 2060640 | 4.0047          |
| 3.8796        | 1.03  | 2136960 | 4.0034          |
| 3.8764        | 0.03  | 2213280 | 4.0019          |
| 3.8664        | 1.03  | 2289600 | 4.0009          |
| 3.864         | 0.03  | 2365920 | 3.9995          |
| 3.8539        | 1.03  | 2442240 | 3.9987          |
| 3.8477        | 2.03  | 2518560 | 3.9978          |
| 3.8437        | 0.03  | 2594880 | 3.9970          |
| 3.8414        | 1.03  | 2671200 | 3.9963          |
| 3.8445        | 0.03  | 2747520 | 3.9956          |
| 3.8455        | 1.03  | 2823840 | 3.9951          |
| 3.8477        | 0.03  | 2900160 | 3.9945          |
| 3.8476        | 0.03  | 2976480 | 3.9941          |
| 3.8431        | 1.02  | 3052726 | 3.9938          |


### Framework versions

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