transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: superlative-quantifier-lstm-1
  results: []
---

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# superlative-quantifier-lstm-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: 3.9853

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7763        | 0.03  | 76320   | 4.7620          |
| 4.4989        | 1.03  | 152640  | 4.4853          |
| 4.3556        | 0.03  | 228960  | 4.3511          |
| 4.2721        | 1.03  | 305280  | 4.2690          |
| 4.2111        | 0.03  | 381600  | 4.2130          |
| 4.1619        | 1.03  | 457920  | 4.1721          |
| 4.1268        | 0.03  | 534240  | 4.1413          |
| 4.0969        | 1.03  | 610560  | 4.1164          |
| 4.0684        | 0.03  | 686880  | 4.0977          |
| 4.0424        | 1.03  | 763200  | 4.0819          |
| 4.0213        | 0.03  | 839520  | 4.0687          |
| 4.0022        | 1.03  | 915840  | 4.0577          |
| 3.9921        | 2.03  | 992160  | 4.0491          |
| 3.9758        | 0.03  | 1068480 | 4.0414          |
| 3.9621        | 1.03  | 1144800 | 4.0342          |
| 3.9449        | 2.03  | 1221120 | 4.0284          |
| 3.931         | 0.03  | 1297440 | 4.0237          |
| 3.9215        | 1.03  | 1373760 | 4.0190          |
| 3.9109        | 0.03  | 1450080 | 4.0155          |
| 3.9095        | 0.03  | 1526400 | 4.0124          |
| 3.9049        | 1.03  | 1602720 | 4.0085          |
| 3.9           | 0.03  | 1679040 | 4.0056          |
| 3.8962        | 1.03  | 1755360 | 4.0035          |
| 3.8938        | 2.03  | 1831680 | 4.0011          |
| 3.8866        | 0.03  | 1908000 | 3.9991          |
| 3.8816        | 0.03  | 1984320 | 3.9976          |
| 3.8738        | 0.03  | 2060640 | 3.9959          |
| 3.8678        | 1.03  | 2136960 | 3.9945          |
| 3.8677        | 0.03  | 2213280 | 3.9936          |
| 3.8607        | 1.03  | 2289600 | 3.9922          |
| 3.8561        | 2.03  | 2365920 | 3.9911          |
| 3.8476        | 0.03  | 2442240 | 3.9901          |
| 3.841         | 1.03  | 2518560 | 3.9895          |
| 3.8375        | 2.03  | 2594880 | 3.9884          |
| 3.834         | 0.03  | 2671200 | 3.9873          |
| 3.837         | 0.03  | 2747520 | 3.9869          |
| 3.839         | 1.03  | 2823840 | 3.9863          |
| 3.8355        | 0.03  | 2900160 | 3.9858          |
| 3.8396        | 1.03  | 2976480 | 3.9855          |
| 3.8402        | 2.02  | 3052726 | 3.9853          |


### Framework versions

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