Model save
Browse files- README.md +80 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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: videomae-base-finetuned-ElderReact-anger-balanced-hp
|
| 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 |
+
# videomae-base-finetuned-ElderReact-anger-balanced-hp
|
| 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: 0.6938
|
| 21 |
+
- Accuracy: 0.4672
|
| 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: 0.001
|
| 41 |
+
- train_batch_size: 16
|
| 42 |
+
- eval_batch_size: 16
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 47 |
+
- training_steps: 480
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 52 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 53 |
+
| 0.7532 | 0.05 | 25 | 0.7078 | 0.5238 |
|
| 54 |
+
| 0.7571 | 1.05 | 50 | 0.7034 | 0.4762 |
|
| 55 |
+
| 0.7357 | 2.05 | 75 | 0.7080 | 0.4429 |
|
| 56 |
+
| 0.6976 | 3.05 | 100 | 0.7160 | 0.5238 |
|
| 57 |
+
| 0.7131 | 4.05 | 125 | 0.6893 | 0.4714 |
|
| 58 |
+
| 0.7275 | 5.05 | 150 | 0.8350 | 0.4929 |
|
| 59 |
+
| 0.7334 | 6.05 | 175 | 0.7127 | 0.4738 |
|
| 60 |
+
| 0.7274 | 7.05 | 200 | 0.7088 | 0.5048 |
|
| 61 |
+
| 0.697 | 8.05 | 225 | 0.6911 | 0.5190 |
|
| 62 |
+
| 0.7605 | 9.05 | 250 | 0.7296 | 0.4976 |
|
| 63 |
+
| 0.7105 | 10.05 | 275 | 0.7100 | 0.4833 |
|
| 64 |
+
| 0.6745 | 11.05 | 300 | 0.7271 | 0.4548 |
|
| 65 |
+
| 0.7166 | 12.05 | 325 | 0.6955 | 0.5286 |
|
| 66 |
+
| 0.6849 | 13.05 | 350 | 0.6981 | 0.4976 |
|
| 67 |
+
| 0.6978 | 14.05 | 375 | 0.6976 | 0.4952 |
|
| 68 |
+
| 0.6928 | 15.05 | 400 | 0.6941 | 0.5405 |
|
| 69 |
+
| 0.7057 | 16.05 | 425 | 0.7022 | 0.5 |
|
| 70 |
+
| 0.6842 | 17.05 | 450 | 0.6943 | 0.4738 |
|
| 71 |
+
| 0.6824 | 18.05 | 475 | 0.6945 | 0.5167 |
|
| 72 |
+
| 0.7065 | 19.01 | 480 | 0.6948 | 0.5143 |
|
| 73 |
+
|
| 74 |
+
|
| 75 |
+
### Framework versions
|
| 76 |
+
|
| 77 |
+
- Transformers 4.38.2
|
| 78 |
+
- Pytorch 2.1.0+cu121
|
| 79 |
+
- Datasets 2.18.0
|
| 80 |
+
- Tokenizers 0.15.2
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 344937368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:972fcb57994869b86f0c02ba4283efa51ca3af4064e747062bc0217b64bef838
|
| 3 |
size 344937368
|