---
library_name: transformers
license: apache-2.0
base_model: tsavage68/IE_M2_1000steps_1e7rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: IE_M2_350steps_1e8rate_01beta_cSFTDPO
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# IE_M2_350steps_1e8rate_01beta_cSFTDPO

This model is a fine-tuned version of [tsavage68/IE_M2_1000steps_1e7rate_SFT](https://huggingface.co./tsavage68/IE_M2_1000steps_1e7rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6859
- Rewards/chosen: -0.0025
- Rewards/rejected: -0.0173
- Rewards/accuracies: 0.3900
- Rewards/margins: 0.0148
- Logps/rejected: -41.1945
- Logps/chosen: -42.2302
- Logits/rejected: -2.9157
- Logits/chosen: -2.8544

## 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-08
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 350

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6934        | 0.4   | 50   | 0.6935          | 0.0012         | 0.0018           | 0.2150             | -0.0007         | -41.0035       | -42.1940     | -2.9159         | -2.8546       |
| 0.6929        | 0.8   | 100  | 0.6915          | -0.0004        | -0.0037          | 0.2700             | 0.0033          | -41.0589       | -42.2096     | -2.9161         | -2.8547       |
| 0.6886        | 1.2   | 150  | 0.6887          | -0.0011        | -0.0101          | 0.3450             | 0.0091          | -41.1233       | -42.2161     | -2.9157         | -2.8544       |
| 0.6887        | 1.6   | 200  | 0.6863          | 0.0011         | -0.0128          | 0.3800             | 0.0139          | -41.1500       | -42.1946     | -2.9154         | -2.8540       |
| 0.6886        | 2.0   | 250  | 0.6863          | -0.0008        | -0.0146          | 0.3850             | 0.0138          | -41.1676       | -42.2131     | -2.9157         | -2.8544       |
| 0.6893        | 2.4   | 300  | 0.6857          | -0.0018        | -0.0170          | 0.3900             | 0.0152          | -41.1921       | -42.2240     | -2.9157         | -2.8544       |
| 0.6851        | 2.8   | 350  | 0.6859          | -0.0025        | -0.0173          | 0.3900             | 0.0148          | -41.1945       | -42.2302     | -2.9157         | -2.8544       |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.0.0+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1