---
base_model: lvwerra/gpt2-imdb
tags:
- generated_from_trainer
model-index:
- name: gpt-imdb-fkl-beta_0.1
  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. -->

# gpt-imdb-fkl-beta_0.1

This model is a fine-tuned version of [lvwerra/gpt2-imdb](https://huggingface.co/lvwerra/gpt2-imdb) on an unknown dataset.
It achieves the following results on the evaluation set:
- Step: 7000
- Loss: 43157476.0
- Rewards/chosen: 0.2870
- Rewards/rejected: -0.3647
- Rewards/accuracies: 0.7750
- Rewards/margins: 0.6517
- Logps/rejected: -267.3319
- Logps/chosen: -232.3951
- Logits/rejected: -35.4871
- Logits/chosen: -35.8462

## 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: 1e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 150
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss             | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6613        | 0.21  | 500  | 1870813158870725165056.0000 | 0.4663         | 0.2817           | 0.5937             | 0.1846          | -260.8683      | -230.6020    | -34.4235        | -34.9404      |
| 0.5684        | 0.42  | 1000 | 147.6206                    | 0.5625         | 0.2263           | 0.6708             | 0.3362          | -261.4219      | -229.6398    | -32.2534        | -32.7960      |
| 0.5548        | 0.63  | 1500 | 387.0789                    | 0.7744         | 0.4004           | 0.6417             | 0.3740          | -259.6809      | -227.5212    | -35.6332        | -36.0763      |
| 0.7404        | 0.83  | 2000 | 306766.0                    | 0.6319         | 0.1306           | 0.6792             | 0.5013          | -262.3793      | -228.9465    | -35.7930        | -36.3250      |
| 0.3854        | 1.04  | 2500 | 104512616.0                 | 0.3906         | -0.2340          | 0.7354             | 0.6245          | -266.0248      | -231.3594    | -37.8272        | -38.3586      |
| 0.5825        | 1.25  | 3000 | 6146.4980                   | 0.6931         | 0.1933           | 0.7063             | 0.4999          | -261.7526      | -228.3339    | -36.5475        | -37.0416      |
| 2792.03       | 1.46  | 3500 | 5439941120.0                | 0.4414         | -0.1668          | 0.7271             | 0.6082          | -265.3533      | -230.8516    | -37.3611        | -37.9083      |
| 11.3378       | 1.67  | 4000 | 1371221.625                 | 0.5757         | -0.0709          | 0.7438             | 0.6465          | -264.3939      | -229.5085    | -36.9220        | -37.3953      |
| 1.9493        | 1.88  | 4500 | 181183.6875                 | 0.5196         | -0.0750          | 0.7437             | 0.5947          | -264.4354      | -230.0688    | -36.8487        | -37.2339      |
| 1.4785        | 2.08  | 5000 | 18712162.0                  | 0.3104         | -0.3569          | 0.7750             | 0.6673          | -267.2543      | -232.1608    | -35.5673        | -35.9495      |
| 0.4516        | 2.29  | 5500 | 3858633.25                  | 0.3507         | -0.2764          | 0.7604             | 0.6272          | -266.4495      | -231.7578    | -35.4563        | -35.8284      |
| 0.3984        | 2.5   | 6000 | 61627688.0                  | 0.2498         | -0.4039          | 0.7792             | 0.6537          | -267.7244      | -232.7677    | -35.1970        | -35.5582      |
| 93.8127       | 2.71  | 6500 | 67355640.0                  | 0.2917         | -0.3600          | 0.7708             | 0.6517          | -267.2854      | -232.3483    | -35.4841        | -35.8434      |
| 4472.7729     | 2.92  | 7000 | 43157476.0                  | 0.2870         | -0.3647          | 0.7750             | 0.6517          | -267.3319      | -232.3951    | -35.4871        | -35.8462      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0