diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..873b3b960f83b76eb96be0925eecc88bc175d360
--- /dev/null
+++ b/README.md
@@ -0,0 +1,71 @@
+---
+tags:
+- automatic-speech-recognition
+- librispeech_asr
+- generated_from_trainer
+model-index:
+- name: wavlm-libri-clean-100h-base-plus-2
+ results: []
+---
+
+
+
+# wavlm-libri-clean-100h-base-plus-2
+
+This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the LIBRISPEECH_ASR - CLEAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0819
+- Wer: 0.0683
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.8877 | 0.34 | 300 | 2.8649 | 1.0 |
+| 0.2852 | 0.67 | 600 | 0.2196 | 0.1830 |
+| 0.1198 | 1.01 | 900 | 0.1438 | 0.1273 |
+| 0.0906 | 1.35 | 1200 | 0.1145 | 0.1035 |
+| 0.0729 | 1.68 | 1500 | 0.1055 | 0.0955 |
+| 0.0605 | 2.02 | 1800 | 0.0936 | 0.0859 |
+| 0.0402 | 2.35 | 2100 | 0.0885 | 0.0746 |
+| 0.0421 | 2.69 | 2400 | 0.0848 | 0.0700 |
+
+
+### 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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+{"": 29, "": 30}
\ No newline at end of file
diff --git a/all_results.json b/all_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..d36e450e008203893d007676385f22b0349d3af8
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+++ b/all_results.json
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+{
+ "epoch": 3.0,
+ "eval_loss": 0.08189886063337326,
+ "eval_runtime": 36.5086,
+ "eval_samples": 2642,
+ "eval_samples_per_second": 72.366,
+ "eval_steps_per_second": 2.273,
+ "eval_wer": 0.06828639428798096,
+ "train_loss": 0.6277089082985359,
+ "train_runtime": 2203.4797,
+ "train_samples": 28538,
+ "train_samples_per_second": 38.854,
+ "train_steps_per_second": 1.214
+}
\ No newline at end of file
diff --git a/checkpoint-1500/config.json b/checkpoint-1500/config.json
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+ "architectures": [
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+ "no_mask_time_overlap": false,
+ "num_adapter_layers": 3,
+ "num_attention_heads": 12,
+ "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": 12,
+ "num_negatives": 100,
+ "output_hidden_size": 768,
+ "pad_token_id": 28,
+ "proj_codevector_dim": 256,
+ "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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