End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +8 -0
- runs/Jun21_14-51-34_ml6.hpc.uio.no/events.out.tfevents.1718974531.ml6.hpc.uio.no.86779.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +75 -0
README.md
CHANGED
@@ -1,6 +1,7 @@
|
|
1 |
---
|
2 |
base_model: anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test
|
3 |
tags:
|
|
|
4 |
- generated_from_trainer
|
5 |
metrics:
|
6 |
- accuracy
|
@@ -14,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
# testV5
|
16 |
|
17 |
-
This model is a fine-tuned version of [anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test](https://huggingface.co/anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test) on
|
18 |
It achieves the following results on the evaluation set:
|
19 |
- Loss: 1.5942
|
20 |
- Accuracy: 0.2238
|
|
|
1 |
---
|
2 |
base_model: anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test
|
3 |
tags:
|
4 |
+
- audio-classification
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- accuracy
|
|
|
15 |
|
16 |
# testV5
|
17 |
|
18 |
+
This model is a fine-tuned version of [anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test](https://huggingface.co/anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test) on the anderloh/Master5Class dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 1.5942
|
21 |
- Accuracy: 0.2238
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.62,
|
3 |
+
"eval_accuracy": 0.22377622377622378,
|
4 |
+
"eval_loss": 1.5941802263259888,
|
5 |
+
"eval_runtime": 16.5399,
|
6 |
+
"eval_samples_per_second": 17.291,
|
7 |
+
"eval_steps_per_second": 0.181,
|
8 |
+
"train_loss": 1.58863525390625,
|
9 |
+
"train_runtime": 185.1041,
|
10 |
+
"train_samples_per_second": 41.814,
|
11 |
+
"train_steps_per_second": 0.081
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.62,
|
3 |
+
"eval_accuracy": 0.22377622377622378,
|
4 |
+
"eval_loss": 1.5941802263259888,
|
5 |
+
"eval_runtime": 16.5399,
|
6 |
+
"eval_samples_per_second": 17.291,
|
7 |
+
"eval_steps_per_second": 0.181
|
8 |
+
}
|
runs/Jun21_14-51-34_ml6.hpc.uio.no/events.out.tfevents.1718974531.ml6.hpc.uio.no.86779.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cb1f76ea686e3b0bb2825178b6545fea28671e1a54567df452a211a1183ded9d
|
3 |
+
size 405
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.62,
|
3 |
+
"train_loss": 1.58863525390625,
|
4 |
+
"train_runtime": 185.1041,
|
5 |
+
"train_samples_per_second": 41.814,
|
6 |
+
"train_steps_per_second": 0.081
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.22377622377622378,
|
3 |
+
"best_model_checkpoint": "wav2vec2-5Class-train-test-finetune-V6/checkpoint-15",
|
4 |
+
"epoch": 4.615384615384615,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 15,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.92,
|
13 |
+
"eval_accuracy": 0.16083916083916083,
|
14 |
+
"eval_loss": 1.6008596420288086,
|
15 |
+
"eval_runtime": 11.4066,
|
16 |
+
"eval_samples_per_second": 25.073,
|
17 |
+
"eval_steps_per_second": 0.263,
|
18 |
+
"step": 3
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 1.85,
|
22 |
+
"eval_accuracy": 0.16433566433566432,
|
23 |
+
"eval_loss": 1.5979312658309937,
|
24 |
+
"eval_runtime": 12.1453,
|
25 |
+
"eval_samples_per_second": 23.548,
|
26 |
+
"eval_steps_per_second": 0.247,
|
27 |
+
"step": 6
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 2.77,
|
31 |
+
"eval_accuracy": 0.19230769230769232,
|
32 |
+
"eval_loss": 1.5959227085113525,
|
33 |
+
"eval_runtime": 10.8887,
|
34 |
+
"eval_samples_per_second": 26.266,
|
35 |
+
"eval_steps_per_second": 0.276,
|
36 |
+
"step": 9
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 4.0,
|
40 |
+
"eval_accuracy": 0.2202797202797203,
|
41 |
+
"eval_loss": 1.5944311618804932,
|
42 |
+
"eval_runtime": 8.0916,
|
43 |
+
"eval_samples_per_second": 35.345,
|
44 |
+
"eval_steps_per_second": 0.371,
|
45 |
+
"step": 13
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 4.62,
|
49 |
+
"eval_accuracy": 0.22377622377622378,
|
50 |
+
"eval_loss": 1.5941802263259888,
|
51 |
+
"eval_runtime": 12.9434,
|
52 |
+
"eval_samples_per_second": 22.096,
|
53 |
+
"eval_steps_per_second": 0.232,
|
54 |
+
"step": 15
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 4.62,
|
58 |
+
"step": 15,
|
59 |
+
"total_flos": 6.3202552444416e+16,
|
60 |
+
"train_loss": 1.58863525390625,
|
61 |
+
"train_runtime": 185.1041,
|
62 |
+
"train_samples_per_second": 41.814,
|
63 |
+
"train_steps_per_second": 0.081
|
64 |
+
}
|
65 |
+
],
|
66 |
+
"logging_steps": 100,
|
67 |
+
"max_steps": 15,
|
68 |
+
"num_input_tokens_seen": 0,
|
69 |
+
"num_train_epochs": 5,
|
70 |
+
"save_steps": 500,
|
71 |
+
"total_flos": 6.3202552444416e+16,
|
72 |
+
"train_batch_size": 128,
|
73 |
+
"trial_name": null,
|
74 |
+
"trial_params": null
|
75 |
+
}
|