Model save
Browse files- README.md +82 -0
- adapter_model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2-VL-2B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
tags:
|
| 6 |
+
- trl
|
| 7 |
+
- sft
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: qwen2-2b-instruct-trl-sft-ChartQA
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# qwen2-2b-instruct-trl-sft-ChartQA
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.0574
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0002
|
| 41 |
+
- train_batch_size: 2
|
| 42 |
+
- eval_batch_size: 2
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 16
|
| 45 |
+
- total_train_batch_size: 32
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: constant
|
| 48 |
+
- lr_scheduler_warmup_ratio: 0.03
|
| 49 |
+
- num_epochs: 3
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 54 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 55 |
+
| 4.1946 | 0.1546 | 10 | 3.2365 |
|
| 56 |
+
| 2.5247 | 0.3092 | 20 | 1.7800 |
|
| 57 |
+
| 1.1177 | 0.4638 | 30 | 0.5485 |
|
| 58 |
+
| 0.4772 | 0.6184 | 40 | 0.4416 |
|
| 59 |
+
| 0.4286 | 0.7729 | 50 | 0.4205 |
|
| 60 |
+
| 0.398 | 0.9275 | 60 | 0.3643 |
|
| 61 |
+
| 0.3027 | 1.0821 | 70 | 0.2035 |
|
| 62 |
+
| 0.1021 | 1.2367 | 80 | 0.0645 |
|
| 63 |
+
| 0.0591 | 1.3913 | 90 | 0.0597 |
|
| 64 |
+
| 0.0592 | 1.5459 | 100 | 0.0581 |
|
| 65 |
+
| 0.0575 | 1.7005 | 110 | 0.0595 |
|
| 66 |
+
| 0.0608 | 1.8551 | 120 | 0.0586 |
|
| 67 |
+
| 0.0583 | 2.0097 | 130 | 0.0588 |
|
| 68 |
+
| 0.0599 | 2.1643 | 140 | 0.0570 |
|
| 69 |
+
| 0.0569 | 2.3188 | 150 | 0.0579 |
|
| 70 |
+
| 0.0577 | 2.4734 | 160 | 0.0574 |
|
| 71 |
+
| 0.0536 | 2.6280 | 170 | 0.0565 |
|
| 72 |
+
| 0.0567 | 2.7826 | 180 | 0.0583 |
|
| 73 |
+
| 0.0611 | 2.9372 | 190 | 0.0574 |
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Framework versions
|
| 77 |
+
|
| 78 |
+
- PEFT 0.11.1
|
| 79 |
+
- Transformers 4.45.2
|
| 80 |
+
- Pytorch 2.3.1+cu121
|
| 81 |
+
- Datasets 3.0.1
|
| 82 |
+
- Tokenizers 0.20.0
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4372840
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2409657e739442b98b7af2465388ef15d964ee239831a5e7af737ac19bdc6229
|
| 3 |
size 4372840
|