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ymoslem
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whisper-small-ga2en-v7.3-r

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Irish
English
whisper
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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@@ -56,38 +56,38 @@ The following hyperparameters were used during training:
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  ### Training results
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- | **Step** | **Training Loss** | **Validation Loss** | **Bleu** | **Chrf** | **Wer** |
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- |---------:|------------------:|--------------------:|----------:|----------:|-----------:|
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- | 100 | 2.351300 | 1.908078 | 6.230000 | 21.980000 | 117.424584 |
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- | 200 | 1.831200 | 1.567262 | 10.800000 | 30.010000 | 109.770374 |
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- | 300 | 1.494100 | 1.421244 | 13.550000 | 33.480000 | 120.306168 |
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- | 400 | 1.309900 | 1.326882 | 19.540000 | 41.060000 | 77.217470 |
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- | 500 | 1.069600 | 1.285087 | 19.100000 | 40.230000 | 95.767672 |
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- | 600 | 0.889600 | 1.255216 | 16.450000 | 38.590000 | 110.445745 |
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- | 700 | 0.783700 | 1.204875 | 30.430000 | 47.940000 | 63.574966 |
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- | 800 | 0.653300 | 1.213243 | 24.280000 | 43.240000 | 72.219721 |
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- | 900 | 0.585300 | 1.246309 | 29.130000 | 44.890000 | 64.295362 |
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- | 1000 | 0.471100 | 1.236493 | 26.550000 | 45.000000 | 70.688879 |
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- | 1100 | 0.228500 | 1.271864 | 26.430000 | 45.950000 | 73.525439 |
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- | 1200 | 0.213200 | 1.297864 | 28.940000 | 45.720000 | 65.736155 |
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- | 1300 | 0.184800 | 1.262461 | 27.330000 | 46.820000 | 72.264746 |
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- | 1400 | 0.195100 | 1.283275 | 29.740000 | 46.850000 | 64.745610 |
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- | 1500 | 0.172600 | 1.252396 | 29.330000 | 46.390000 | 64.655561 |
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- | 1600 | 0.164400 | 1.295237 | 25.880000 | 45.290000 | 74.110761 |
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- | 1700 | 0.144700 | 1.291115 | 24.490000 | 44.950000 | 71.994597 |
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- | 1800 | 0.148200 | 1.260603 | 29.300000 | 46.220000 | 63.935164 |
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- | 1900 | 0.115800 | 1.292712 | 29.480000 | 46.770000 | 63.980189 |
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- | 2000 | 0.105900 | 1.293839 | 29.150000 | 47.870000 | 67.086898 |
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- | 2100 | 0.086100 | 1.295070 | 28.820000 | 47.200000 | 64.700585 |
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- | 2200 | 0.035700 | 1.303162 | 30.170000 | 47.570000 | 64.745610 |
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- | 2300 | 0.032700 | 1.324677 | 27.020000 | 45.370000 | 73.075191 |
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- | 2400 | 0.031700 | 1.286437 | 30.480000 | 48.450000 | 63.619991 |
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- | 2500 | 0.031200 | 1.305244 | 32.510000 | 49.490000 | 61.278703 |
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- | 2600 | 0.027300 | 1.306147 | 31.860000 | 49.900000 | 63.124719 |
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- | 2700 | 0.027000 | 1.321022 | 32.000000 | 49.300000 | 63.124719 |
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- | 2800 | 0.023100 | 1.305768 | 32.190000 | 49.760000 | 61.413778 |
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- | 2900 | 0.020800 | 1.319407 | 32.070000 | 48.470000 | 62.179199 |
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- | 3000 | 0.022800 | 1.318355 | 32.150000 | 48.490000 | 61.638901 |
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  ### Framework versions
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  ### Training results
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+ | **Step** | **Training Loss** | **Validation Loss** | **Bleu** | **Chrf** | **Wer** |
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+ |---------:|------------------:|--------------------:|---------:|---------:|-----------:|
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+ | 100 | 2.351300 | 1.908078 | 6.23 | 21.98 | 117.424584 |
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+ | 200 | 1.831200 | 1.567262 | 10.80 | 30.01 | 109.770374 |
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+ | 300 | 1.494100 | 1.421244 | 13.55 | 33.48 | 120.306168 |
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+ | 400 | 1.309900 | 1.326882 | 19.54 | 41.06 | 77.217470 |
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+ | 500 | 1.069600 | 1.285087 | 19.10 | 40.23 | 95.767672 |
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+ | 600 | 0.889600 | 1.255216 | 16.45 | 38.59 | 110.445745 |
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+ | 700 | 0.783700 | 1.204875 | 30.43 | 47.94 | 63.574966 |
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+ | 800 | 0.653300 | 1.213243 | 24.28 | 43.24 | 72.219721 |
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+ | 900 | 0.585300 | 1.246309 | 29.13 | 44.89 | 64.295362 |
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+ | 1000 | 0.471100 | 1.236493 | 26.55 | 45.00 | 70.688879 |
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+ | 1100 | 0.228500 | 1.271864 | 26.43 | 45.95 | 73.525439 |
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+ | 1200 | 0.213200 | 1.297864 | 28.94 | 45.72 | 65.736155 |
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+ | 1300 | 0.184800 | 1.262461 | 27.33 | 46.82 | 72.264746 |
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+ | 1400 | 0.195100 | 1.283275 | 29.74 | 46.85 | 64.745610 |
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+ | 1500 | 0.172600 | 1.252396 | 29.33 | 46.39 | 64.655561 |
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+ | 1600 | 0.164400 | 1.295237 | 25.88 | 45.29 | 74.110761 |
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+ | 1700 | 0.144700 | 1.291115 | 24.49 | 44.95 | 71.994597 |
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+ | 1800 | 0.148200 | 1.260603 | 29.30 | 46.22 | 63.935164 |
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+ | 1900 | 0.115800 | 1.292712 | 29.48 | 46.77 | 63.980189 |
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+ | 2000 | 0.105900 | 1.293839 | 29.15 | 47.87 | 67.086898 |
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+ | 2100 | 0.086100 | 1.295070 | 28.82 | 47.20 | 64.700585 |
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+ | 2200 | 0.035700 | 1.303162 | 30.17 | 47.57 | 64.745610 |
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+ | 2300 | 0.032700 | 1.324677 | 27.02 | 45.37 | 73.075191 |
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+ | 2400 | 0.031700 | 1.286437 | 30.48 | 48.45 | 63.619991 |
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+ | 2500 | 0.031200 | 1.305244 | 32.51 | 49.49 | 61.278703 |
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+ | 2600 | 0.027300 | 1.306147 | 31.86 | 49.90 | 63.124719 |
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+ | 2700 | 0.027000 | 1.321022 | 32.00 | 49.30 | 63.124719 |
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+ | 2800 | 0.023100 | 1.305768 | 32.19 | 49.76 | 61.413778 |
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+ | 2900 | 0.020800 | 1.319407 | 32.07 | 48.47 | 62.179199 |
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+ | 3000 | 0.022800 | 1.318355 | 32.15 | 48.49 | 61.638901 |
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  ### Framework versions
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