File size: 2,635 Bytes
f8a9fb5 fdb90b3 f8a9fb5 fdb90b3 f8a9fb5 fdb90b3 f8a9fb5 |
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 79 80 81 82 83 84 85 |
---
base_model: google/paligemma-3b-pt-224
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: paligemma_scienceQA_v15
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. -->
# paligemma_scienceQA_v15
This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1043
## 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: 2e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1502 | 0.2 | 10 | 0.1155 |
| 0.1414 | 0.4 | 20 | 0.1136 |
| 0.1481 | 0.6 | 30 | 0.1134 |
| 0.1384 | 0.8 | 40 | 0.1121 |
| 0.1472 | 1.0 | 50 | 0.1112 |
| 0.1357 | 1.2 | 60 | 0.1108 |
| 0.124 | 1.4 | 70 | 0.1102 |
| 0.1495 | 1.6 | 80 | 0.1096 |
| 0.1438 | 1.8 | 90 | 0.1090 |
| 0.1394 | 2.0 | 100 | 0.1078 |
| 0.1285 | 2.2 | 110 | 0.1071 |
| 0.131 | 2.4 | 120 | 0.1071 |
| 0.1375 | 2.6 | 130 | 0.1068 |
| 0.1243 | 2.8 | 140 | 0.1061 |
| 0.138 | 3.0 | 150 | 0.1056 |
| 0.1386 | 3.2 | 160 | 0.1055 |
| 0.1325 | 3.4 | 170 | 0.1052 |
| 0.1252 | 3.6 | 180 | 0.1052 |
| 0.1371 | 3.8 | 190 | 0.1049 |
| 0.122 | 4.0 | 200 | 0.1048 |
| 0.1149 | 4.2 | 210 | 0.1046 |
| 0.1318 | 4.4 | 220 | 0.1044 |
| 0.1169 | 4.6 | 230 | 0.1043 |
| 0.1412 | 4.8 | 240 | 0.1041 |
| 0.1514 | 5.0 | 250 | 0.1043 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |