update model card README.md

README.md

@@ -0,0 +1,75 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- librispeech_asr
+model-index:
+- name: ''
+  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. -->
+
+# 
+
+This model was trained from scratch on the librispeech_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7177
+- Wer: 0.1283
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 25.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 6.1228        | 1.68  | 1500  | 6.0490          | 1.1433 |
+| 5.4173        | 3.36  | 3000  | 5.3453          | 1.4878 |
+| 4.1635        | 5.04  | 4500  | 4.4185          | 0.9644 |
+| 2.1246        | 6.73  | 6000  | 3.2089          | 0.5026 |
+| 1.88          | 8.41  | 7500  | 1.9886          | 0.3438 |
+| 1.2606        | 10.09 | 9000  | 1.4472          | 0.2487 |
+| 0.7492        | 11.77 | 10500 | 1.1716          | 0.1949 |
+| 0.8868        | 13.45 | 12000 | 1.0146          | 0.1702 |
+| 0.5078        | 15.13 | 13500 | 0.8821          | 0.1548 |
+| 0.4515        | 16.82 | 15000 | 0.8181          | 0.1417 |
+| 0.3902        | 18.5  | 16500 | 0.7765          | 0.1364 |
+| 0.3575        | 20.18 | 18000 | 0.7367          | 0.1333 |
+| 0.2903        | 21.86 | 19500 | 0.7211          | 0.1301 |
+| 0.2698        | 23.54 | 21000 | 0.7177          | 0.1283 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu113
+- Datasets 1.18.3
+- Tokenizers 0.11.0

wandb/run-20220324_170220-1u8cita3/files/output.log

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+Upload file runs/Mar24_17-01-37_sanchit--v100/events.out.tfevents.1648141340.sanchit--v100.1754191.0: 100%|█| 917k/917k remote: tput: No value for $TERM and no -T specified        ould not estimate the number of tokens of the input, floating-point operations will not be computed
+Upload file runs/Mar24_17-01-37_sanchit--v100/events.out.tfevents.1648141340.sanchit--v100.1754191.0: 100%|█| 917k/917k remote: tput: No value for $TERM and no -T specified        ould not estimate the number of tokens of the input, floating-point operations will not be computed
+03/25/2022 02:54:25 - WARNING - huggingface_hub.repository - remote: tput: No value for $TERM and no -T specified
+remote: tput: No value for $TERM and no -T specified
+remote: tput: No value for $TERM and no -T specified
+remote: tput: No value for $TERM and no -T specified
+To https://huggingface.co/sanchit-gandhi/wav2vec2-2-rnd-no-adapter-regularisation
+   d21401e..3fd8a60  main -> main

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