---
base_model: btherien/410M_it-132366_Tr-slim-pajama-300B-replay5_finetune_sft-full
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: 410M_it-132366_Tr-slim-pajama-300B-replay5_finetune_dpo-full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 410M_it-132366_Tr-slim-pajama-300B-replay5_finetune_dpo-full

This model is a fine-tuned version of [btherien/410M_it-132366_Tr-slim-pajama-300B-replay5_finetune_sft-full](https://huggingface.co/btherien/410M_it-132366_Tr-slim-pajama-300B-replay5_finetune_sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6500
- Rewards/chosen: -0.4023
- Rewards/rejected: -0.5547
- Rewards/accuracies: 0.6171
- Rewards/margins: 0.1514
- Logps/rejected: -420.0
- Logps/chosen: -464.0
- Logits/rejected: -1.3828
- Logits/chosen: -1.4297

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6867        | 0.21  | 100  | 0.6853          | -0.0056        | -0.0271          | 0.5556             | 0.0216          | -368.0         | -424.0       | -1.1953         | -1.2422       |
| 0.6632        | 0.42  | 200  | 0.6625          | -0.2285        | -0.3203          | 0.625              | 0.0913          | -396.0         | -446.0       | -1.3203         | -1.3672       |
| 0.6493        | 0.63  | 300  | 0.6532          | -0.3555        | -0.4902          | 0.625              | 0.1348          | -412.0         | -460.0       | -1.3516         | -1.3984       |
| 0.6462        | 0.84  | 400  | 0.6495          | -0.4004        | -0.5547          | 0.6389             | 0.1553          | -420.0         | -464.0       | -1.375          | -1.4219       |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.15.2