Hugging Face's logo

cdactvm
/
w2v-bert-odia_v1

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
cdactvm commited on
Commit
34b8c1e
•
1 Parent(s): f71f23a

End of training

Browse files
Files changed (3) hide show
  1. README.md +129 -9
  2. model.safetensors +1 -1
  3. runs/Aug02_16-27-52_GPU/events.out.tfevents.1722597642.GPU.1770393.0 +2 -2
README.md CHANGED
@@ -1,8 +1,10 @@
1
  ---
2
  license: mit
 
3
  tags:
4
  - generated_from_trainer
5
- base_model: facebook/w2v-bert-2.0
 
6
  model-index:
7
  - name: w2v-bert-odia_v1
8
  results: []
@@ -15,13 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - eval_loss: nan
19
- - eval_wer: 1.0
20
- - eval_runtime: 302.046
21
- - eval_samples_per_second: 12.233
22
- - eval_steps_per_second: 12.233
23
- - epoch: 2.0514
24
- - step: 18000
25
 
26
  ## Model description
27
 
@@ -49,9 +46,132 @@ The following hyperparameters were used during training:
49
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
  - lr_scheduler_type: linear
51
  - lr_scheduler_warmup_steps: 500
52
- - num_epochs: 3
53
  - mixed_precision_training: Native AMP
54
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
55
  ### Framework versions
56
 
57
  - Transformers 4.41.1
 
1
  ---
2
  license: mit
3
+ base_model: facebook/w2v-bert-2.0
4
  tags:
5
  - generated_from_trainer
6
+ metrics:
7
+ - wer
8
  model-index:
9
  - name: w2v-bert-odia_v1
10
  results: []
 
17
 
18
  This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.2688
21
+ - Wer: 0.1951
 
 
 
 
 
22
 
23
  ## Model description
24
 
 
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_steps: 500
49
+ - num_epochs: 4
50
  - mixed_precision_training: Native AMP
51
 
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
55
+ |:-------------:|:------:|:-----:|:---------------:|:------:|
56
+ | 2.9674 | 0.0342 | 300 | 1.3305 | 0.7001 |
57
+ | 1.2476 | 0.0683 | 600 | 1.1660 | 0.5879 |
58
+ | 1.0692 | 0.1025 | 900 | 0.9110 | 0.4886 |
59
+ | 0.9443 | 0.1366 | 1200 | 0.7601 | 0.4727 |
60
+ | 0.8235 | 0.1708 | 1500 | 0.7761 | 0.3973 |
61
+ | 0.8155 | 0.2050 | 1800 | 0.7084 | 0.4022 |
62
+ | 0.767 | 0.2391 | 2100 | 0.6251 | 0.3756 |
63
+ | 0.7517 | 0.2733 | 2400 | 0.6125 | 0.3654 |
64
+ | 0.687 | 0.3075 | 2700 | 0.5848 | 0.3439 |
65
+ | 0.6509 | 0.3416 | 3000 | 0.5643 | 0.3282 |
66
+ | 0.6632 | 0.3758 | 3300 | 0.5509 | 0.3199 |
67
+ | 0.6108 | 0.4099 | 3600 | 0.5393 | 0.3341 |
68
+ | 0.5898 | 0.4441 | 3900 | 0.5223 | 0.3277 |
69
+ | 0.595 | 0.4783 | 4200 | 0.5199 | 0.3200 |
70
+ | 0.5644 | 0.5124 | 4500 | 0.5508 | 0.2919 |
71
+ | 0.5787 | 0.5466 | 4800 | 0.4994 | 0.3060 |
72
+ | 0.5752 | 0.5807 | 5100 | 0.4966 | 0.2997 |
73
+ | 0.5353 | 0.6149 | 5400 | 0.4731 | 0.3237 |
74
+ | 0.5473 | 0.6491 | 5700 | 0.4665 | 0.3062 |
75
+ | 0.5498 | 0.6832 | 6000 | 0.4890 | 0.2876 |
76
+ | 0.5146 | 0.7174 | 6300 | 0.4747 | 0.2926 |
77
+ | 0.5398 | 0.7516 | 6600 | 0.4581 | 0.2907 |
78
+ | 0.5154 | 0.7857 | 6900 | 0.4557 | 0.2995 |
79
+ | 0.5386 | 0.8199 | 7200 | 0.4515 | 0.2948 |
80
+ | 0.5037 | 0.8540 | 7500 | 0.4456 | 0.2961 |
81
+ | 0.5344 | 0.8882 | 7800 | 0.4509 | 0.2988 |
82
+ | 0.501 | 0.9224 | 8100 | 0.4436 | 0.2711 |
83
+ | 0.487 | 0.9565 | 8400 | 0.4233 | 0.2749 |
84
+ | 0.4692 | 0.9907 | 8700 | 0.4661 | 0.2532 |
85
+ | 0.462 | 1.0249 | 9000 | 0.4197 | 0.2723 |
86
+ | 0.4508 | 1.0590 | 9300 | 0.4316 | 0.2584 |
87
+ | 0.4702 | 1.0932 | 9600 | 0.4148 | 0.2689 |
88
+ | 0.4517 | 1.1273 | 9900 | 0.3950 | 0.2549 |
89
+ | 0.4408 | 1.1615 | 10200 | 0.4308 | 0.2551 |
90
+ | 0.4636 | 1.1957 | 10500 | 0.4033 | 0.2700 |
91
+ | 0.4583 | 1.2298 | 10800 | 0.4096 | 0.2556 |
92
+ | 0.4315 | 1.2640 | 11100 | 0.3883 | 0.2681 |
93
+ | 0.4172 | 1.2981 | 11400 | 0.3737 | 0.2529 |
94
+ | 0.4177 | 1.3323 | 11700 | 0.3992 | 0.2472 |
95
+ | 0.3975 | 1.3665 | 12000 | 0.3716 | 0.2485 |
96
+ | 0.4044 | 1.4006 | 12300 | 0.3853 | 0.2523 |
97
+ | 0.4497 | 1.4348 | 12600 | 0.3798 | 0.2465 |
98
+ | 0.4188 | 1.4690 | 12900 | 0.3822 | 0.2494 |
99
+ | 0.4424 | 1.5031 | 13200 | 0.3560 | 0.2449 |
100
+ | 0.4249 | 1.5373 | 13500 | 0.3630 | 0.2514 |
101
+ | 0.4287 | 1.5714 | 13800 | 0.3662 | 0.2417 |
102
+ | 0.3712 | 1.6056 | 14100 | 0.3714 | 0.2562 |
103
+ | 0.3893 | 1.6398 | 14400 | 0.3711 | 0.2333 |
104
+ | 0.3935 | 1.6739 | 14700 | 0.3715 | 0.2413 |
105
+ | 0.3982 | 1.7081 | 15000 | 0.3551 | 0.2482 |
106
+ | 0.4124 | 1.7422 | 15300 | 0.3519 | 0.2412 |
107
+ | 0.3853 | 1.7764 | 15600 | 0.3429 | 0.2418 |
108
+ | 0.4096 | 1.8106 | 15900 | 0.3407 | 0.2394 |
109
+ | 0.3816 | 1.8447 | 16200 | 0.3607 | 0.2370 |
110
+ | 0.3769 | 1.8789 | 16500 | 0.3601 | 0.2291 |
111
+ | 0.3428 | 1.9131 | 16800 | 0.3578 | 0.2283 |
112
+ | 0.3636 | 1.9472 | 17100 | 0.3485 | 0.2334 |
113
+ | 0.3594 | 1.9814 | 17400 | 0.3539 | 0.2341 |
114
+ | 0.3692 | 2.0155 | 17700 | 0.3383 | 0.2282 |
115
+ | 0.3295 | 2.0497 | 18000 | 0.3354 | 0.2374 |
116
+ | 0.3442 | 2.0839 | 18300 | 0.3393 | 0.2340 |
117
+ | 0.3306 | 2.1180 | 18600 | 0.3567 | 0.2382 |
118
+ | 0.3243 | 2.1522 | 18900 | 0.3410 | 0.2287 |
119
+ | 0.3426 | 2.1864 | 19200 | 0.3244 | 0.2323 |
120
+ | 0.3552 | 2.2205 | 19500 | 0.3356 | 0.2318 |
121
+ | 0.3558 | 2.2547 | 19800 | 0.3686 | 0.2225 |
122
+ | 0.3485 | 2.2888 | 20100 | 0.3485 | 0.2230 |
123
+ | 0.3195 | 2.3230 | 20400 | 0.3197 | 0.2230 |
124
+ | 0.3145 | 2.3572 | 20700 | 0.3312 | 0.2294 |
125
+ | 0.3238 | 2.3913 | 21000 | 0.3331 | 0.2210 |
126
+ | 0.3288 | 2.4255 | 21300 | 0.3172 | 0.2272 |
127
+ | 0.3398 | 2.4596 | 21600 | 0.3228 | 0.2182 |
128
+ | 0.3185 | 2.4940 | 21900 | 0.3057 | 0.2272 |
129
+ | 0.3152 | 2.5281 | 22200 | 0.3133 | 0.2175 |
130
+ | 0.312 | 2.5623 | 22500 | 0.3155 | 0.2155 |
131
+ | 0.3131 | 2.5965 | 22800 | 0.3087 | 0.2200 |
132
+ | 0.2993 | 2.6306 | 23100 | 0.3123 | 0.2216 |
133
+ | 0.2953 | 2.6648 | 23400 | 0.3116 | 0.2203 |
134
+ | 0.274 | 2.6989 | 23700 | 0.3221 | 0.2099 |
135
+ | 0.3043 | 2.7331 | 24000 | 0.3092 | 0.2131 |
136
+ | 0.2939 | 2.7673 | 24300 | 0.3084 | 0.2134 |
137
+ | 0.3063 | 2.8014 | 24600 | 0.3119 | 0.2094 |
138
+ | 0.3108 | 2.8356 | 24900 | 0.2987 | 0.2104 |
139
+ | 0.3188 | 2.8698 | 25200 | 0.3030 | 0.2082 |
140
+ | 0.2921 | 2.9039 | 25500 | 0.3051 | 0.2090 |
141
+ | 0.2994 | 2.9381 | 25800 | 0.2939 | 0.2148 |
142
+ | 0.2789 | 2.9722 | 26100 | 0.3012 | 0.2068 |
143
+ | 0.2902 | 3.0064 | 26400 | 0.2981 | 0.2138 |
144
+ | 0.2899 | 3.0406 | 26700 | 0.2931 | 0.2062 |
145
+ | 0.2796 | 3.0747 | 27000 | 0.2953 | 0.2067 |
146
+ | 0.287 | 3.1089 | 27300 | 0.3006 | 0.2105 |
147
+ | 0.2828 | 3.1431 | 27600 | 0.2916 | 0.2121 |
148
+ | 0.2798 | 3.1772 | 27900 | 0.2974 | 0.2060 |
149
+ | 0.2757 | 3.2114 | 28200 | 0.2908 | 0.2042 |
150
+ | 0.2694 | 3.2455 | 28500 | 0.2905 | 0.2058 |
151
+ | 0.262 | 3.2797 | 28800 | 0.2866 | 0.2048 |
152
+ | 0.2623 | 3.3139 | 29100 | 0.2794 | 0.2062 |
153
+ | 0.282 | 3.3480 | 29400 | 0.2814 | 0.2004 |
154
+ | 0.2655 | 3.3822 | 29700 | 0.2891 | 0.2006 |
155
+ | 0.2757 | 3.4163 | 30000 | 0.2845 | 0.1983 |
156
+ | 0.2686 | 3.4505 | 30300 | 0.2818 | 0.2013 |
157
+ | 0.2571 | 3.4847 | 30600 | 0.2825 | 0.2003 |
158
+ | 0.2681 | 3.5188 | 30900 | 0.2814 | 0.2051 |
159
+ | 0.2628 | 3.5530 | 31200 | 0.2831 | 0.1998 |
160
+ | 0.2625 | 3.5872 | 31500 | 0.2775 | 0.2032 |
161
+ | 0.2448 | 3.6213 | 31800 | 0.2770 | 0.1984 |
162
+ | 0.2599 | 3.6555 | 32100 | 0.2732 | 0.2002 |
163
+ | 0.2492 | 3.6896 | 32400 | 0.2880 | 0.1942 |
164
+ | 0.2666 | 3.7238 | 32700 | 0.2701 | 0.1984 |
165
+ | 0.257 | 3.7580 | 33000 | 0.2687 | 0.1997 |
166
+ | 0.2589 | 3.7921 | 33300 | 0.2665 | 0.1997 |
167
+ | 0.2735 | 3.8263 | 33600 | 0.2678 | 0.1990 |
168
+ | 0.2477 | 3.8604 | 33900 | 0.2704 | 0.1958 |
169
+ | 0.2525 | 3.8946 | 34200 | 0.2695 | 0.1946 |
170
+ | 0.2401 | 3.9288 | 34500 | 0.2732 | 0.1931 |
171
+ | 0.2585 | 3.9629 | 34800 | 0.2682 | 0.1945 |
172
+ | 0.2582 | 3.9971 | 35100 | 0.2688 | 0.1951 |
173
+
174
+
175
  ### Framework versions
176
 
177
  - Transformers 4.41.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b80428887a5ecb9096f9705763f6f32c5ce127b0e534df407549740393cfcbd8
3
  size 2423101560
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8e3fa612d3648796068f34c41cd00f5bcb34f31e87bb7638bed06305f7fd366c
3
  size 2423101560
runs/Aug02_16-27-52_GPU/events.out.tfevents.1722597642.GPU.1770393.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2f0229341812396622d6e1a99732680d0059e4ed2351ab41a0e5b0bedcd78ceb
3
- size 36817
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:841c7484820805de2d7f0e4d6d2bbfb75ef7f45db28b3a24712a58087fa32411
3
+ size 37716