End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/mms-1b-all
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-mms-1b-kazakh-speech2ner-ksc_t-16b-8ep
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wav2vec2-large-mms-1b-kazakh-speech2ner-ksc_t-16b-8ep
+
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2356
+- Wer: 0.3093
+
+## 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:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 5.1           | 0.22  | 2000  | 5.0320          | 1.0014 |
+| 3.8579        | 0.43  | 4000  | 3.8757          | 1.0001 |
+| 3.617         | 0.65  | 6000  | 3.6434          | 1.0001 |
+| 3.56          | 0.87  | 8000  | 3.5268          | 0.9999 |
+| 3.4363        | 1.09  | 10000 | 3.4524          | 0.9999 |
+| 3.3759        | 1.3   | 12000 | 3.4010          | 0.9999 |
+| 3.3024        | 1.52  | 14000 | 3.3323          | 1.0000 |
+| 2.721         | 1.74  | 16000 | 2.4051          | 1.0048 |
+| 0.3937        | 1.96  | 18000 | 0.3398          | 0.3681 |
+| 0.3456        | 2.17  | 20000 | 0.3013          | 0.3523 |
+| 0.3269        | 2.39  | 22000 | 0.2836          | 0.3410 |
+| 0.3275        | 2.61  | 24000 | 0.2738          | 0.3346 |
+| 0.3053        | 2.83  | 26000 | 0.2667          | 0.3294 |
+| 0.3041        | 3.04  | 28000 | 0.2619          | 0.3263 |
+| 0.3084        | 3.26  | 30000 | 0.2574          | 0.3230 |
+| 0.2915        | 3.48  | 32000 | 0.2547          | 0.3207 |
+| 0.2865        | 3.69  | 34000 | 0.2521          | 0.3187 |
+| 0.2814        | 3.91  | 36000 | 0.2500          | 0.3172 |
+| 0.2961        | 4.13  | 38000 | 0.2479          | 0.3159 |
+| 0.3037        | 4.35  | 40000 | 0.2464          | 0.3147 |
+| 0.3023        | 4.56  | 42000 | 0.2448          | 0.3148 |
+| 0.2977        | 4.78  | 44000 | 0.2433          | 0.3139 |
+| 0.2933        | 5.0   | 46000 | 0.2422          | 0.3133 |
+| 0.2838        | 5.22  | 48000 | 0.2413          | 0.3120 |
+| 0.2833        | 5.43  | 50000 | 0.2401          | 0.3123 |
+| 0.2774        | 5.65  | 52000 | 0.2398          | 0.3112 |
+| 0.2813        | 5.87  | 54000 | 0.2389          | 0.3111 |
+| 0.2779        | 6.08  | 56000 | 0.2380          | 0.3108 |
+| 0.2872        | 6.3   | 58000 | 0.2376          | 0.3106 |
+| 0.2758        | 6.52  | 60000 | 0.2372          | 0.3106 |
+| 0.275         | 6.74  | 62000 | 0.2369          | 0.3095 |
+| 0.2749        | 6.95  | 64000 | 0.2364          | 0.3100 |
+| 0.2828        | 7.17  | 66000 | 0.2362          | 0.3098 |
+| 0.2749        | 7.39  | 68000 | 0.2359          | 0.3093 |
+| 0.2775        | 7.61  | 70000 | 0.2358          | 0.3093 |
+| 0.2744        | 7.82  | 72000 | 0.2356          | 0.3093 |
+
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3

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