tcapelle commited on
Commit
fa9b5c5
·
verified ·
1 Parent(s): 598a59b

Model save

Browse files
Files changed (2) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
21
 
22
  This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
24
- - Loss: 0.1186
25
- - F1: 0.9550
26
- - Accuracy: 0.9567
27
- - Precision: 0.9538
28
- - Recall: 0.9567
29
 
30
  ## Model description
31
 
@@ -45,13 +45,13 @@ More information needed
45
 
46
  The following hyperparameters were used during training:
47
  - learning_rate: 3e-05
48
- - train_batch_size: 24
49
- - eval_batch_size: 24
50
  - seed: 42
51
  - distributed_type: multi-GPU
52
  - num_devices: 8
53
- - total_train_batch_size: 192
54
- - total_eval_batch_size: 192
55
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
56
  - lr_scheduler_type: cosine
57
  - lr_scheduler_warmup_ratio: 0.1
@@ -61,10 +61,10 @@ The following hyperparameters were used during training:
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
63
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
64
- | No log | 0 | 0 | 1.5764 | 0.7709 | 0.6917 | 0.8807 | 0.6917 |
65
- | 0.1007 | 1.0 | 5878 | 0.0995 | 0.9551 | 0.9582 | 0.9539 | 0.9582 |
66
- | 0.0756 | 2.0 | 11756 | 0.1020 | 0.9560 | 0.9585 | 0.9548 | 0.9585 |
67
- | 0.0576 | 3.0 | 17634 | 0.1186 | 0.9550 | 0.9567 | 0.9538 | 0.9567 |
68
 
69
 
70
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on an unknown dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 0.1188
25
+ - F1: 0.9551
26
+ - Accuracy: 0.9568
27
+ - Precision: 0.9539
28
+ - Recall: 0.9568
29
 
30
  ## Model description
31
 
 
45
 
46
  The following hyperparameters were used during training:
47
  - learning_rate: 3e-05
48
+ - train_batch_size: 16
49
+ - eval_batch_size: 16
50
  - seed: 42
51
  - distributed_type: multi-GPU
52
  - num_devices: 8
53
+ - total_train_batch_size: 128
54
+ - total_eval_batch_size: 128
55
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
56
  - lr_scheduler_type: cosine
57
  - lr_scheduler_warmup_ratio: 0.1
 
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
63
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
64
+ | No log | 0 | 0 | 3.7079 | 0.4868 | 0.3651 | 0.8738 | 0.3651 |
65
+ | 0.1046 | 1.0 | 8816 | 0.1006 | 0.9536 | 0.9576 | 0.9526 | 0.9576 |
66
+ | 0.0733 | 2.0 | 17632 | 0.1023 | 0.9558 | 0.9581 | 0.9545 | 0.9581 |
67
+ | 0.0583 | 3.0 | 26448 | 0.1188 | 0.9551 | 0.9568 | 0.9539 | 0.9568 |
68
 
69
 
70
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ddda5bd64f9fed0cee5369b7be6c4400d06bbed2ebea732c07d252278132bacd
3
  size 988106872
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e89ad4cf789337d2efce62a58fab96ade7fe74c29143c0012b1d272374d1b97
3
  size 988106872