transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-quantifier-transformer-0
  results: []
---

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# existential-there-quantifier-transformer-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: 3.8835

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2546        | 0.03  | 76320   | 4.2173          |
| 4.0456        | 1.03  | 152640  | 4.0479          |
| 3.9375        | 0.03  | 228960  | 3.9722          |
| 3.8623        | 1.03  | 305280  | 3.9304          |
| 3.8127        | 0.03  | 381600  | 3.9056          |
| 3.7712        | 1.03  | 457920  | 3.8892          |
| 3.7382        | 0.03  | 534240  | 3.8785          |
| 3.7136        | 1.03  | 610560  | 3.8711          |
| 3.6834        | 0.03  | 686880  | 3.8678          |
| 3.662         | 1.03  | 763200  | 3.8651          |
| 3.6372        | 0.03  | 839520  | 3.8623          |
| 3.6129        | 1.03  | 915840  | 3.8620          |
| 3.5966        | 0.03  | 992160  | 3.8628          |
| 3.5783        | 1.03  | 1068480 | 3.8637          |
| 3.5567        | 0.03  | 1144800 | 3.8642          |
| 3.5491        | 1.03  | 1221120 | 3.8651          |
| 3.5327        | 0.03  | 1297440 | 3.8676          |
| 3.5175        | 1.03  | 1373760 | 3.8687          |
| 3.5057        | 0.03  | 1450080 | 3.8702          |
| 3.4924        | 0.03  | 1526400 | 3.8721          |
| 3.4828        | 1.03  | 1602720 | 3.8730          |
| 3.473         | 0.03  | 1679040 | 3.8742          |
| 3.4664        | 0.03  | 1755360 | 3.8755          |
| 3.4601        | 0.03  | 1831680 | 3.8762          |
| 3.4455        | 1.03  | 1908000 | 3.8786          |
| 3.4387        | 0.03  | 1984320 | 3.8797          |
| 3.4248        | 1.03  | 2060640 | 3.8817          |
| 3.4112        | 0.03  | 2136960 | 3.8819          |
| 3.4015        | 1.03  | 2213280 | 3.8829          |
| 3.3893        | 0.03  | 2289600 | 3.8840          |
| 3.3756        | 1.03  | 2365920 | 3.8845          |
| 3.3723        | 0.03  | 2442240 | 3.8853          |
| 3.3601        | 1.03  | 2518560 | 3.8860          |
| 3.3485        | 0.03  | 2594880 | 3.8865          |
| 3.3415        | 1.03  | 2671200 | 3.8873          |
| 3.3286        | 0.03  | 2747520 | 3.8864          |
| 3.3243        | 1.03  | 2823840 | 3.8858          |
| 3.3171        | 0.03  | 2900160 | 3.8852          |
| 3.3134        | 1.03  | 2976480 | 3.8841          |
| 3.3113        | 0.02  | 3052726 | 3.8835          |


### Framework versions

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