jeanbap166 commited on
Commit
fde14f1
1 Parent(s): 7d2340e

End of training

Browse files
README.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: openai/whisper-small
3
+ datasets:
4
+ - test16082024Diny
5
+ language:
6
+ - fr
7
+ library_name: peft
8
+ license: apache-2.0
9
+ tags:
10
+ - generated_from_trainer
11
+ model-index:
12
+ - name: Whisper Small Diny
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # Whisper Small Diny
20
+
21
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Diny dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.6336
24
+
25
+ ## Model description
26
+
27
+ More information needed
28
+
29
+ ## Intended uses & limitations
30
+
31
+ More information needed
32
+
33
+ ## Training and evaluation data
34
+
35
+ More information needed
36
+
37
+ ## Training procedure
38
+
39
+ ### Training hyperparameters
40
+
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 0.0001
43
+ - train_batch_size: 8
44
+ - eval_batch_size: 8
45
+ - seed: 42
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - lr_scheduler_warmup_steps: 50
49
+ - num_epochs: 10
50
+ - mixed_precision_training: Native AMP
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss |
55
+ |:-------------:|:-----:|:----:|:---------------:|
56
+ | 3.853 | 1.0 | 9 | 3.5040 |
57
+ | 3.2074 | 2.0 | 18 | 3.0067 |
58
+ | 2.6069 | 3.0 | 27 | 2.4636 |
59
+ | 1.955 | 4.0 | 36 | 1.8001 |
60
+ | 1.1568 | 5.0 | 45 | 0.9291 |
61
+ | 0.7625 | 6.0 | 54 | 0.8403 |
62
+ | 0.585 | 7.0 | 63 | 0.7019 |
63
+ | 0.5889 | 8.0 | 72 | 0.7064 |
64
+ | 0.5227 | 9.0 | 81 | 0.6428 |
65
+ | 0.5145 | 10.0 | 90 | 0.6336 |
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - PEFT 0.12.0
71
+ - Transformers 4.42.4
72
+ - Pytorch 2.3.1+cu121
73
+ - Datasets 2.21.0
74
+ - Tokenizers 0.19.1
adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "WhisperForConditionalGeneration",
5
+ "parent_library": "transformers.models.whisper.modeling_whisper"
6
+ },
7
+ "base_model_name_or_path": "openai/whisper-small",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 64,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 32,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "q_proj",
27
+ "v_proj"
28
+ ],
29
+ "task_type": null,
30
+ "use_dora": false,
31
+ "use_rslora": false
32
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a54541eb407a37470536c4cb2b215d3346ff8fd767d8b57152dbee82c7eed55
3
+ size 14176064
preprocessor_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "chunk_length": 30,
3
+ "feature_extractor_type": "WhisperFeatureExtractor",
4
+ "feature_size": 80,
5
+ "hop_length": 160,
6
+ "n_fft": 400,
7
+ "n_samples": 480000,
8
+ "nb_max_frames": 3000,
9
+ "padding_side": "right",
10
+ "padding_value": 0.0,
11
+ "processor_class": "WhisperProcessor",
12
+ "return_attention_mask": false,
13
+ "sampling_rate": 16000
14
+ }
runs/Aug16_10-13-38_127f8fee377d/events.out.tfevents.1723803240.127f8fee377d.1656.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44d23198c080a1d667907023131dab6ed7907f0002aefb5ddb1bceed26d83857
3
+ size 5735
runs/Aug16_10-13-38_127f8fee377d/events.out.tfevents.1723803282.127f8fee377d.1656.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b6f4d0c3fd4935e8695e156fdaf509fa8441d94d0190c0254d4fc0c48d97c566
3
+ size 5735
runs/Aug16_10-40-28_127f8fee377d/events.out.tfevents.1723804838.127f8fee377d.1656.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b0473aeb5fff9191bdd7294f1f9bbd6d299b2768e993786cfaab8297b7e0c486
3
+ size 6356
runs/Aug16_10-40-28_127f8fee377d/events.out.tfevents.1723804890.127f8fee377d.1656.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3360ed771b49f2ac39bf1b9e73f3d2a98590b6d7282f288607cce2043bae87d
3
+ size 14953
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5d6e48ca1344df8ae02c8d3f1e49a79b91b99a7e7d8a88d7f4145fdca34a7402
3
+ size 5304