transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sim-ques-transformer-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. -->

# npi-sim-ques-transformer-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: 3.8610

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2392        | 0.03  | 76320   | 4.1993          |
| 4.0323        | 1.03  | 152640  | 4.0296          |
| 3.9279        | 0.03  | 228960  | 3.9548          |
| 3.8561        | 1.03  | 305280  | 3.9138          |
| 3.8036        | 0.03  | 381600  | 3.8881          |
| 3.7625        | 0.03  | 457920  | 3.8710          |
| 3.7285        | 1.03  | 534240  | 3.8606          |
| 3.6956        | 0.03  | 610560  | 3.8533          |
| 3.6668        | 1.03  | 686880  | 3.8490          |
| 3.6419        | 0.03  | 763200  | 3.8457          |
| 3.6185        | 1.03  | 839520  | 3.8446          |
| 3.6021        | 0.03  | 915840  | 3.8438          |
| 3.5781        | 1.03  | 992160  | 3.8423          |
| 3.5567        | 0.03  | 1068480 | 3.8441          |
| 3.5429        | 1.03  | 1144800 | 3.8441          |
| 3.5382        | 0.03  | 1221120 | 3.8446          |
| 3.5224        | 1.03  | 1297440 | 3.8456          |
| 3.5064        | 0.03  | 1373760 | 3.8477          |
| 3.4963        | 1.03  | 1450080 | 3.8499          |
| 3.4863        | 0.03  | 1526400 | 3.8503          |
| 3.4768        | 0.03  | 1602720 | 3.8510          |
| 3.4658        | 1.03  | 1679040 | 3.8527          |
| 3.4577        | 0.03  | 1755360 | 3.8541          |
| 3.4436        | 1.03  | 1831680 | 3.8556          |
| 3.4314        | 0.03  | 1908000 | 3.8570          |
| 3.4192        | 1.03  | 1984320 | 3.8581          |
| 3.4091        | 0.03  | 2060640 | 3.8579          |
| 3.4012        | 1.03  | 2136960 | 3.8601          |
| 3.3857        | 0.03  | 2213280 | 3.8605          |
| 3.3695        | 1.03  | 2289600 | 3.8603          |
| 3.3632        | 0.03  | 2365920 | 3.8624          |
| 3.3599        | 1.03  | 2442240 | 3.8624          |
| 3.3498        | 0.03  | 2518560 | 3.8641          |
| 3.3379        | 1.03  | 2594880 | 3.8631          |
| 3.3315        | 0.03  | 2671200 | 3.8640          |
| 3.3251        | 0.03  | 2747520 | 3.8637          |
| 3.3163        | 1.03  | 2823840 | 3.8639          |
| 3.3132        | 0.03  | 2900160 | 3.8628          |
| 3.3082        | 1.03  | 2976480 | 3.8619          |
| 3.2988        | 0.02  | 3052726 | 3.8610          |


### Framework versions

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