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

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# existential-there-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: 3.9942

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8294        | 0.03  | 76320   | 4.7875          |
| 4.542         | 1.03  | 152640  | 4.5057          |
| 4.3987        | 0.03  | 228960  | 4.3699          |
| 4.3041        | 1.03  | 305280  | 4.2862          |
| 4.2431        | 0.03  | 381600  | 4.2283          |
| 4.1925        | 1.03  | 457920  | 4.1863          |
| 4.1569        | 0.03  | 534240  | 4.1547          |
| 4.1273        | 1.03  | 610560  | 4.1290          |
| 4.0981        | 0.03  | 686880  | 4.1104          |
| 4.0785        | 1.03  | 763200  | 4.0937          |
| 4.0542        | 0.03  | 839520  | 4.0798          |
| 4.034         | 1.03  | 915840  | 4.0686          |
| 4.0198        | 0.03  | 992160  | 4.0593          |
| 4.0035        | 1.03  | 1068480 | 4.0515          |
| 3.9854        | 0.03  | 1144800 | 4.0440          |
| 3.9778        | 1.03  | 1221120 | 4.0390          |
| 3.9643        | 0.03  | 1297440 | 4.0343          |
| 3.9526        | 1.03  | 1373760 | 4.0297          |
| 3.9457        | 0.03  | 1450080 | 4.0248          |
| 3.9331        | 1.03  | 1526400 | 4.0206          |
| 3.9301        | 0.03  | 1602720 | 4.0172          |
| 3.9263        | 1.03  | 1679040 | 4.0149          |
| 3.9266        | 0.03  | 1755360 | 4.0128          |
| 3.9239        | 1.03  | 1831680 | 4.0104          |
| 3.9149        | 0.03  | 1908000 | 4.0088          |
| 3.9157        | 1.03  | 1984320 | 4.0068          |
| 3.9072        | 0.03  | 2060640 | 4.0055          |
| 3.9008        | 1.03  | 2136960 | 4.0040          |
| 3.8958        | 0.03  | 2213280 | 4.0029          |
| 3.8897        | 1.03  | 2289600 | 4.0015          |
| 3.8817        | 0.03  | 2365920 | 4.0004          |
| 3.8804        | 0.03  | 2442240 | 3.9992          |
| 3.8746        | 1.03  | 2518560 | 3.9978          |
| 3.8692        | 0.03  | 2594880 | 3.9969          |
| 3.8683        | 1.03  | 2671200 | 3.9963          |
| 3.8646        | 0.03  | 2747520 | 3.9957          |
| 3.8663        | 1.03  | 2823840 | 3.9952          |
| 3.8663        | 0.03  | 2900160 | 3.9947          |
| 3.8674        | 0.03  | 2976480 | 3.9945          |
| 3.8701        | 1.02  | 3052726 | 3.9942          |


### Framework versions

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