Hugging Face's logo

sridhar1ga
/
speech_emotion_is25_2401

Audio Classification
Transformers
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Community
sridhar1ga commited on
Commit
cc73fc6
·
verified ·
1 Parent(s): b22e289

End of training

Browse files
Files changed (2) hide show
  1. README.md +140 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,140 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: facebook/wav2vec2-large-xlsr-53
5
+ tags:
6
+ - generated_from_trainer
7
+ metrics:
8
+ - f1
9
+ model-index:
10
+ - name: speech_emotion_is25_2401
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # speech_emotion_is25_2401
18
+
19
+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 5.9534
22
+ - F1: 0.2172
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 0.0003
42
+ - train_batch_size: 96
43
+ - eval_batch_size: 96
44
+ - seed: 42
45
+ - gradient_accumulation_steps: 4
46
+ - total_train_batch_size: 384
47
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
+ - lr_scheduler_type: linear
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 80
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
55
+ |:-------------:|:-------:|:----:|:---------------:|:------:|
56
+ | 2.0794 | 1.0 | 25 | 2.0794 | 0.0273 |
57
+ | 1.9206 | 2.0 | 50 | 2.0781 | 0.0546 |
58
+ | 2.0578 | 3.0 | 75 | 2.0166 | 0.1312 |
59
+ | 1.8736 | 4.0 | 100 | 2.0161 | 0.1342 |
60
+ | 1.9971 | 5.0 | 125 | 1.9877 | 0.1640 |
61
+ | 1.8198 | 6.0 | 150 | 1.9416 | 0.2073 |
62
+ | 1.9686 | 7.0 | 175 | 1.9777 | 0.1657 |
63
+ | 1.8065 | 8.0 | 200 | 1.9370 | 0.1977 |
64
+ | 1.9424 | 9.0 | 225 | 1.9781 | 0.2017 |
65
+ | 1.7882 | 10.0 | 250 | 1.9437 | 0.2064 |
66
+ | 1.9057 | 11.0 | 275 | 1.9376 | 0.2189 |
67
+ | 1.7494 | 12.0 | 300 | 1.9299 | 0.2191 |
68
+ | 1.8207 | 13.0 | 325 | 1.9541 | 0.1991 |
69
+ | 1.6539 | 14.0 | 350 | 1.9275 | 0.2381 |
70
+ | 1.7783 | 15.0 | 375 | 1.9523 | 0.2520 |
71
+ | 1.6253 | 16.0 | 400 | 1.9718 | 0.2340 |
72
+ | 1.697 | 17.0 | 425 | 1.9726 | 0.2506 |
73
+ | 1.5304 | 18.0 | 450 | 1.9830 | 0.2483 |
74
+ | 1.6035 | 19.0 | 475 | 2.2017 | 0.1929 |
75
+ | 1.4398 | 20.0 | 500 | 2.2326 | 0.2127 |
76
+ | 1.5259 | 21.0 | 525 | 2.2705 | 0.2161 |
77
+ | 1.3323 | 22.0 | 550 | 2.2537 | 0.2314 |
78
+ | 1.4133 | 23.0 | 575 | 2.2838 | 0.2229 |
79
+ | 1.267 | 24.0 | 600 | 2.3778 | 0.2202 |
80
+ | 1.2922 | 25.0 | 625 | 2.5493 | 0.2104 |
81
+ | 1.1266 | 26.0 | 650 | 2.7201 | 0.2102 |
82
+ | 1.1796 | 27.0 | 675 | 2.7254 | 0.2238 |
83
+ | 1.017 | 28.0 | 700 | 2.9926 | 0.1992 |
84
+ | 1.0778 | 29.0 | 725 | 2.8849 | 0.2071 |
85
+ | 0.9195 | 30.0 | 750 | 2.9993 | 0.2189 |
86
+ | 0.9121 | 31.0 | 775 | 3.0823 | 0.2148 |
87
+ | 0.7994 | 32.0 | 800 | 3.1808 | 0.2125 |
88
+ | 0.777 | 33.0 | 825 | 3.3580 | 0.2077 |
89
+ | 0.7391 | 34.0 | 850 | 3.4756 | 0.1952 |
90
+ | 0.751 | 35.0 | 875 | 3.5514 | 0.2086 |
91
+ | 0.6774 | 36.0 | 900 | 3.7188 | 0.2068 |
92
+ | 0.6095 | 37.0 | 925 | 3.8295 | 0.1968 |
93
+ | 0.5689 | 38.0 | 950 | 3.8538 | 0.2218 |
94
+ | 0.5496 | 39.0 | 975 | 3.9988 | 0.1990 |
95
+ | 0.4789 | 40.0 | 1000 | 4.2451 | 0.2108 |
96
+ | 0.4903 | 41.0 | 1025 | 4.0233 | 0.2216 |
97
+ | 0.4433 | 42.0 | 1050 | 4.3824 | 0.2056 |
98
+ | 0.4537 | 43.0 | 1075 | 4.4037 | 0.2047 |
99
+ | 0.4196 | 44.0 | 1100 | 4.2913 | 0.2236 |
100
+ | 0.37 | 45.0 | 1125 | 4.6178 | 0.2072 |
101
+ | 0.2967 | 46.0 | 1150 | 4.6234 | 0.2132 |
102
+ | 0.352 | 47.0 | 1175 | 4.7141 | 0.2199 |
103
+ | 0.3013 | 48.0 | 1200 | 4.8603 | 0.2203 |
104
+ | 0.3731 | 49.0 | 1225 | 4.8180 | 0.2276 |
105
+ | 0.3029 | 50.0 | 1250 | 4.9620 | 0.2198 |
106
+ | 0.292 | 51.0 | 1275 | 4.9615 | 0.2233 |
107
+ | 0.2765 | 52.0 | 1300 | 4.9503 | 0.2175 |
108
+ | 0.2408 | 53.0 | 1325 | 4.9422 | 0.2244 |
109
+ | 0.2151 | 54.0 | 1350 | 5.0663 | 0.2138 |
110
+ | 0.2335 | 55.0 | 1375 | 5.3134 | 0.2147 |
111
+ | 0.2009 | 56.0 | 1400 | 5.4252 | 0.1973 |
112
+ | 0.2154 | 57.0 | 1425 | 5.3755 | 0.2019 |
113
+ | 0.2045 | 58.0 | 1450 | 5.3263 | 0.2191 |
114
+ | 0.2135 | 59.0 | 1475 | 5.3328 | 0.2109 |
115
+ | 0.1765 | 60.0 | 1500 | 5.6206 | 0.2098 |
116
+ | 0.1764 | 61.0 | 1525 | 5.5509 | 0.2200 |
117
+ | 0.1648 | 62.0 | 1550 | 5.5793 | 0.2088 |
118
+ | 0.1558 | 63.0 | 1575 | 5.5590 | 0.2229 |
119
+ | 0.1294 | 64.0 | 1600 | 5.7499 | 0.2177 |
120
+ | 0.152 | 65.0 | 1625 | 5.7696 | 0.2102 |
121
+ | 0.1133 | 66.0 | 1650 | 5.6495 | 0.2129 |
122
+ | 0.1425 | 67.0 | 1675 | 5.7512 | 0.2233 |
123
+ | 0.1171 | 68.0 | 1700 | 5.7398 | 0.2166 |
124
+ | 0.1681 | 69.0 | 1725 | 5.8166 | 0.2231 |
125
+ | 0.1217 | 70.0 | 1750 | 5.8027 | 0.2148 |
126
+ | 0.1228 | 71.0 | 1775 | 5.7813 | 0.2183 |
127
+ | 0.1055 | 72.0 | 1800 | 5.8321 | 0.2218 |
128
+ | 0.1174 | 73.0 | 1825 | 5.8462 | 0.2207 |
129
+ | 0.1193 | 74.0 | 1850 | 5.9226 | 0.2148 |
130
+ | 0.1104 | 75.0 | 1875 | 5.9136 | 0.2192 |
131
+ | 0.1115 | 76.0 | 1900 | 5.9308 | 0.2202 |
132
+ | 0.1122 | 76.8247 | 1920 | 5.9534 | 0.2172 |
133
+
134
+
135
+ ### Framework versions
136
+
137
+ - Transformers 4.48.1
138
+ - Pytorch 2.5.1+cu124
139
+ - Datasets 3.2.0
140
+ - Tokenizers 0.21.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d1c98ccffa8a575e97a26dcaa3555b0f020c95496f421742dda8643b2566037e
3
  size 1262865472
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6067fa70c0d534691eb3f630c5cbdeb1c118f1fc29e00f0d29c607523825cd44
3
  size 1262865472