Commit
·
7ba0192
1
Parent(s):
9e7e73c
Model save
Browse files- README.md +81 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-4.0
|
| 3 |
+
base_model: MCG-NJU/videomae-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: finetuned-Accident-SingleLabel-Final-v3
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# finetuned-Accident-SingleLabel-Final-v3
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.7991
|
| 21 |
+
- Accuracy: 0.6471
|
| 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: 5e-05
|
| 41 |
+
- train_batch_size: 8
|
| 42 |
+
- eval_batch_size: 8
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- num_devices: 2
|
| 46 |
+
- total_train_batch_size: 16
|
| 47 |
+
- total_eval_batch_size: 16
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: linear
|
| 50 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 51 |
+
- training_steps: 65
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 57 |
+
| No log | 0.06 | 4 | 1.8584 | 0.1739 |
|
| 58 |
+
| No log | 1.06 | 8 | 1.6548 | 0.3478 |
|
| 59 |
+
| 1.6685 | 2.06 | 12 | 1.4049 | 0.5217 |
|
| 60 |
+
| 1.6685 | 3.06 | 16 | 1.1540 | 0.6087 |
|
| 61 |
+
| 1.0202 | 4.06 | 20 | 1.1246 | 0.6087 |
|
| 62 |
+
| 1.0202 | 5.06 | 24 | 1.0258 | 0.4348 |
|
| 63 |
+
| 1.0202 | 6.06 | 28 | 0.9200 | 0.5217 |
|
| 64 |
+
| 0.9738 | 7.06 | 32 | 0.8942 | 0.6087 |
|
| 65 |
+
| 0.9738 | 8.06 | 36 | 0.8556 | 0.6087 |
|
| 66 |
+
| 0.7315 | 9.06 | 40 | 0.9506 | 0.6087 |
|
| 67 |
+
| 0.7315 | 10.06 | 44 | 0.9272 | 0.6087 |
|
| 68 |
+
| 0.7315 | 11.06 | 48 | 0.8048 | 0.5652 |
|
| 69 |
+
| 0.7004 | 12.06 | 52 | 0.8537 | 0.5217 |
|
| 70 |
+
| 0.7004 | 13.06 | 56 | 0.8058 | 0.6087 |
|
| 71 |
+
| 0.7426 | 14.06 | 60 | 1.0633 | 0.6957 |
|
| 72 |
+
| 0.7426 | 15.06 | 64 | 0.9449 | 0.6522 |
|
| 73 |
+
| 0.7426 | 16.02 | 65 | 0.8110 | 0.6522 |
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Framework versions
|
| 77 |
+
|
| 78 |
+
- Transformers 4.35.0
|
| 79 |
+
- Pytorch 2.1.0
|
| 80 |
+
- Datasets 2.14.6
|
| 81 |
+
- Tokenizers 0.14.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 344949680
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2cb7a909e5cc8bd47ec0b7802cca2d914a178a450ccf0fc1bd86b23fadcb6d03
|
| 3 |
size 344949680
|