File size: 2,830 Bytes
eca7497 |
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 75 76 77 78 |
---
library_name: transformers
license: other
base_model: llava-hf/llava-v1.6-mistral-7b-hf
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: AA_preference_cosi_new_step10_0_50
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. -->
# AA_preference_cosi_new_step10_0_50
This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the AA_preference_cosi_new_step10_0_50 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5631
- Rewards/chosen: 1.1577
- Rewards/rejected: -1.6637
- Rewards/accuracies: 0.8208
- Rewards/margins: 2.8214
- Logps/rejected: -228.8032
- Logps/chosen: -253.1133
- Logits/rejected: -2.2359
- Logits/chosen: -2.2654
## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5242 | 0.7463 | 50 | 0.5642 | 0.8117 | -0.7280 | 0.7583 | 1.5397 | -219.4454 | -256.5733 | -2.1958 | -2.2182 |
| 0.2523 | 1.4925 | 100 | 0.5878 | 1.3931 | -1.2040 | 0.8042 | 2.5970 | -224.2055 | -250.7594 | -2.3529 | -2.3702 |
| 0.1264 | 2.2388 | 150 | 0.5602 | 1.3270 | -1.4230 | 0.8167 | 2.7499 | -226.3953 | -251.4204 | -2.2382 | -2.2652 |
| 0.1301 | 2.9851 | 200 | 0.5625 | 1.1589 | -1.6695 | 0.8208 | 2.8283 | -228.8604 | -253.1016 | -2.2358 | -2.2653 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
|