diff --git a/README.md b/README.md
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index 0000000000000000000000000000000000000000..385dc7b7f6dcfbdf7dcef0c8b652cefec0c3fd9b
--- /dev/null
+++ b/README.md
@@ -0,0 +1,72 @@
+---
+tags:
+- automatic-speech-recognition
+- librispeech_asr
+- generated_from_trainer
+model-index:
+- name: wavlm-librispeech-clean-100h-dist
+ results: []
+---
+
+
+
+# wavlm-librispeech-clean-100h-dist
+
+This model is a fine-tuned version of [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) on the LIBRISPEECH_ASR - CLEAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0601
+- Wer: 0.0491
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.8069 | 0.34 | 300 | 0.7510 | 0.5809 |
+| 0.2483 | 0.67 | 600 | 0.2023 | 0.1929 |
+| 0.1033 | 1.01 | 900 | 0.1123 | 0.1028 |
+| 0.0742 | 1.35 | 1200 | 0.0858 | 0.0771 |
+| 0.057 | 1.68 | 1500 | 0.0722 | 0.0663 |
+| 0.0421 | 2.02 | 1800 | 0.0682 | 0.0582 |
+| 0.0839 | 2.35 | 2100 | 0.0630 | 0.0534 |
+| 0.0307 | 2.69 | 2400 | 0.0603 | 0.0508 |
+
+
+### Framework versions
+
+- Transformers 4.15.0.dev0
+- Pytorch 1.9.0+cu111
+- Datasets 1.16.2.dev0
+- Tokenizers 0.10.3
diff --git a/added_tokens.json b/added_tokens.json
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--- /dev/null
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+{"": 29, "": 30}
\ No newline at end of file
diff --git a/all_results.json b/all_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..b2a22cb1aed9319bb5840ebd34d85563f21390ad
--- /dev/null
+++ b/all_results.json
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+{
+ "epoch": 3.0,
+ "eval_loss": 0.06008534133434296,
+ "eval_runtime": 60.484,
+ "eval_samples": 2703,
+ "eval_samples_per_second": 44.69,
+ "eval_steps_per_second": 2.794,
+ "eval_wer": 0.04911584132936289,
+ "train_loss": 0.48771899742295655,
+ "train_runtime": 3791.9372,
+ "train_samples": 28539,
+ "train_samples_per_second": 22.579,
+ "train_steps_per_second": 0.706
+}
\ No newline at end of file
diff --git a/checkpoint-1500/config.json b/checkpoint-1500/config.json
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+ "adapter_stride": 2,
+ "add_adapter": false,
+ "apply_spec_augment": true,
+ "architectures": [
+ "WavLMForCTC"
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+ "mask_time_prob": 0.05,
+ "mask_time_selection": "static",
+ "max_bucket_distance": 800,
+ "model_type": "wavlm",
+ "num_adapter_layers": 3,
+ "num_attention_heads": 16,
+ "num_buckets": 320,
+ "num_codevector_groups": 2,
+ "num_codevectors_per_group": 320,
+ "num_conv_pos_embedding_groups": 16,
+ "num_conv_pos_embeddings": 128,
+ "num_ctc_classes": 80,
+ "num_feat_extract_layers": 7,
+ "num_hidden_layers": 24,
+ "num_negatives": 100,
+ "output_hidden_size": 1024,
+ "pad_token_id": 28,
+ "proj_codevector_dim": 768,
+ "replace_prob": 0.5,
+ "tokenizer_class": "Wav2Vec2CTCTokenizer",
+ "torch_dtype": "float32",
+ "transformers_version": "4.15.0.dev0",
+ "use_weighted_layer_sum": false,
+ "vocab_size": 31
+}
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