diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..b1e65402228c2c828a785fa64639ea762b632aea
--- /dev/null
+++ b/README.md
@@ -0,0 +1,70 @@
+---
+tags:
+- automatic-speech-recognition
+- librispeech_asr
+- generated_from_trainer
+model-index:
+- name: wavlm-libri-clean-100h-base
+ results: []
+---
+
+
+
+# wavlm-libri-clean-100h-base
+
+This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on the LIBRISPEECH_ASR - CLEAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0955
+- Wer: 0.0773
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 1.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 2.8664 | 0.17 | 300 | 2.8439 | 1.0 |
+| 0.5009 | 0.34 | 600 | 0.2709 | 0.2162 |
+| 0.2056 | 0.5 | 900 | 0.1934 | 0.1602 |
+| 0.1648 | 0.67 | 1200 | 0.1576 | 0.1306 |
+| 0.1922 | 0.84 | 1500 | 0.1358 | 0.1114 |
+| 0.093 | 1.01 | 1800 | 0.1277 | 0.1035 |
+| 0.0652 | 1.18 | 2100 | 0.1251 | 0.1005 |
+| 0.0848 | 1.35 | 2400 | 0.1188 | 0.0964 |
+| 0.0706 | 1.51 | 2700 | 0.1091 | 0.0905 |
+| 0.0846 | 1.68 | 3000 | 0.1018 | 0.0840 |
+| 0.0684 | 1.85 | 3300 | 0.0978 | 0.0809 |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.9.1
+- Datasets 1.18.0
+- Tokenizers 0.10.3
diff --git a/added_tokens.json b/added_tokens.json
new file mode 100644
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--- /dev/null
+++ 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..3f08fbed20b10eb482fdb5e62f12f08429f2c12f
--- /dev/null
+++ b/all_results.json
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+{
+ "epoch": 1.96,
+ "eval_loss": 0.09545929729938507,
+ "eval_runtime": 297.6826,
+ "eval_samples": 2642,
+ "eval_samples_per_second": 8.875,
+ "eval_steps_per_second": 0.558,
+ "eval_wer": 0.07727092423641412,
+ "train_loss": 0.0,
+ "train_runtime": 7.6753,
+ "train_samples": 28538,
+ "train_samples_per_second": 3718.173,
+ "train_steps_per_second": 232.435
+}
\ No newline at end of file
diff --git a/checkpoint-2500/config.json b/checkpoint-2500/config.json
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+ "adapter_stride": 2,
+ "add_adapter": false,
+ "apply_spec_augment": true,
+ "architectures": [
+ "WavLMForCTC"
+ ],
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+ "codevector_dim": 256,
+ "contrastive_logits_temperature": 0.1,
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+ "max_bucket_distance": 800,
+ "model_type": "wavlm",
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+ "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,
+ "tdnn_dilation": [
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+ "tdnn_dim": [
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+ 512,
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+ "tdnn_kernel": [
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+ "tokenizer_class": "Wav2Vec2CTCTokenizer",
+ "torch_dtype": "float32",
+ "transformers_version": "4.15.0",
+ "use_weighted_layer_sum": false,
+ "vocab_size": 31,
+ "xvector_output_dim": 512
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\ No newline at end of file