File size: 2,371 Bytes
e9c551c b1fb271 87a68cd 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 87a68cd e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 e9c551c 148f966 87a68cd e9c551c 148f966 e9c551c 148f966 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M-Instruct
tags:
- trl
- orpo
- generated_from_trainer
model-index:
- name: ft-smollm-135M-instruct-on-hf-ultrafeedback_rob
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. -->
# ft-smollm-135M-instruct-on-hf-ultrafeedback_rob
This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-135M-Instruct) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1429
- Rewards/chosen: -0.1303
- Rewards/rejected: -0.1304
- Rewards/accuracies: 0.4670
- Rewards/margins: 0.0000
- Logps/rejected: -1.3036
- Logps/chosen: -1.3032
- Logits/rejected: 27.7664
- Logits/chosen: 27.4331
- Nll Loss: 1.0675
- Log Odds Ratio: -0.7542
- Log Odds Chosen: 0.0132
## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 1.3569 | 0.8 | 100 | 1.1429 | -0.1303 | -0.1304 | 0.4670 | 0.0000 | -1.3036 | -1.3032 | 27.7664 | 27.4331 | 1.0675 | -0.7542 | 0.0132 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
|