generated_from_keras_callback

<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->

whisper_input_decoder_shift_r_labels_no_force__0040

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Train Loss Train Accuracy Train Wermet Validation Loss Validation Accuracy Validation Wermet Epoch
5.6348 0.0091 1.5865 4.2935 0.0093 0.9579 0
4.9212 0.0099 0.9054 4.1262 0.0097 0.9390 1
4.6819 0.0107 0.8319 3.9071 0.0103 0.8966 2
4.4443 0.0114 0.8310 3.7367 0.0106 0.8939 3
4.2479 0.0119 0.8226 3.6101 0.0109 0.8696 4
4.0911 0.0124 0.8103 3.5364 0.0110 0.8946 5
3.9590 0.0127 0.7913 3.4556 0.0113 0.8388 6
3.8513 0.0130 0.7794 3.4106 0.0114 0.8515 7
3.7607 0.0133 0.7657 3.3507 0.0115 0.8261 8
3.6757 0.0136 0.7548 3.3141 0.0116 0.8400 9
3.6023 0.0138 0.7454 3.2711 0.0117 0.8006 10
3.5261 0.0140 0.7348 3.2391 0.0119 0.8101 11
3.4534 0.0143 0.7212 3.2070 0.0120 0.7870 12
3.3814 0.0146 0.7080 3.1505 0.0122 0.7826 13
3.3069 0.0148 0.6961 3.1102 0.0124 0.7609 14
3.2229 0.0152 0.6781 3.0542 0.0125 0.7532 15
3.1334 0.0156 0.6614 2.9840 0.0127 0.7448 16
3.0313 0.0160 0.6425 2.9032 0.0130 0.7123 17
2.9122 0.0166 0.6202 2.7986 0.0134 0.6930 18
2.7559 0.0173 0.5940 2.6337 0.0139 0.6673 19
2.5649 0.0182 0.5674 2.4490 0.0145 0.6383 20
2.3414 0.0193 0.5299 2.2785 0.0150 0.6183 21
2.0966 0.0206 0.4903 2.0460 0.0158 0.5649 22
1.8283 0.0220 0.4459 1.8369 0.0165 0.5306 23
1.5547 0.0235 0.3996 1.6356 0.0172 0.4848 24
1.3218 0.0249 0.3581 1.4682 0.0179 0.4510 25
1.1383 0.0260 0.3211 1.3465 0.0183 0.4226 26
0.9876 0.0270 0.2920 1.2323 0.0188 0.3966 27
0.8635 0.0278 0.2651 1.1482 0.0191 0.3749 28
0.7620 0.0284 0.2435 1.0816 0.0194 0.3565 29
0.6749 0.0290 0.2234 1.0187 0.0196 0.3433 30
0.5998 0.0295 0.2025 0.9761 0.0198 0.3319 31
0.5325 0.0300 0.1827 0.9326 0.0200 0.3213 32
0.4735 0.0305 0.1665 0.8942 0.0201 0.3110 33
0.4228 0.0308 0.1466 0.8735 0.0202 0.3026 34
0.3747 0.0312 0.1293 0.8408 0.0203 0.2931 35
0.3331 0.0316 0.1111 0.8253 0.0204 0.2891 36
0.2947 0.0319 0.0962 0.8084 0.0205 0.2849 37
0.2601 0.0322 0.0817 0.7906 0.0205 0.2783 38
0.2291 0.0324 0.0706 0.7876 0.0206 0.2755 39

Framework versions