transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-lstm-0
  results: []
---

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# existential-there-quantifier-lstm-0

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: 3.9934

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8273        | 0.03  | 76320   | 4.7836          |
| 4.5391        | 1.03  | 152640  | 4.5012          |
| 4.3969        | 0.03  | 228960  | 4.3667          |
| 4.3045        | 1.03  | 305280  | 4.2836          |
| 4.2419        | 0.03  | 381600  | 4.2262          |
| 4.192         | 1.03  | 457920  | 4.1851          |
| 4.1562        | 0.03  | 534240  | 4.1534          |
| 4.1266        | 1.03  | 610560  | 4.1292          |
| 4.0984        | 0.03  | 686880  | 4.1090          |
| 4.0793        | 1.03  | 763200  | 4.0937          |
| 4.0568        | 0.03  | 839520  | 4.0802          |
| 4.0358        | 1.03  | 915840  | 4.0689          |
| 4.0206        | 0.03  | 992160  | 4.0594          |
| 4.0044        | 1.03  | 1068480 | 4.0509          |
| 3.9856        | 0.03  | 1144800 | 4.0442          |
| 3.9794        | 0.03  | 1221120 | 4.0388          |
| 3.9662        | 1.03  | 1297440 | 4.0339          |
| 3.9543        | 0.03  | 1373760 | 4.0289          |
| 3.947         | 0.03  | 1450080 | 4.0247          |
| 3.9364        | 1.03  | 1526400 | 4.0203          |
| 3.9341        | 0.03  | 1602720 | 4.0168          |
| 3.9302        | 1.03  | 1679040 | 4.0148          |
| 3.9262        | 0.03  | 1755360 | 4.0128          |
| 3.9228        | 1.03  | 1831680 | 4.0098          |
| 3.9153        | 0.03  | 1908000 | 4.0084          |
| 3.9142        | 1.03  | 1984320 | 4.0067          |
| 3.9089        | 0.03  | 2060640 | 4.0050          |
| 3.9009        | 1.03  | 2136960 | 4.0033          |
| 3.8964        | 0.03  | 2213280 | 4.0018          |
| 3.8902        | 1.03  | 2289600 | 4.0003          |
| 3.8809        | 0.03  | 2365920 | 3.9990          |
| 3.8823        | 1.03  | 2442240 | 3.9980          |
| 3.8772        | 0.03  | 2518560 | 3.9973          |
| 3.8719        | 0.03  | 2594880 | 3.9966          |
| 3.8723        | 1.03  | 2671200 | 3.9958          |
| 3.8664        | 0.03  | 2747520 | 3.9952          |
| 3.8675        | 1.03  | 2823840 | 3.9947          |
| 3.8662        | 0.03  | 2900160 | 3.9940          |
| 3.8698        | 1.03  | 2976480 | 3.9936          |
| 3.871         | 0.02  | 3052726 | 3.9934          |


### Framework versions

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