adding model files ... still training.

config.json

@@ -0,0 +1,76 @@
+{
+  "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
+  "activation_dropout": 0.0,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForCTC"
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+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "conv_bias": true,
+  "conv_dim": [
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+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
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+    3,
+    3,
+    3,
+    3,
+    2,
+    2
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+  "conv_stride": [
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+    2,
+    2,
+    2,
+    2,
+    2,
+    2
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+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": false,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.0,
+  "final_dropout": 0.0,
+  "gradient_checkpointing": true,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_channel_length": 10,
+  "mask_channel_min_space": 1,
+  "mask_channel_other": 0.0,
+  "mask_channel_prob": 0.0,
+  "mask_channel_selection": "static",
+  "mask_feature_length": 10,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_space": 1,
+  "mask_time_other": 0.0,
+  "mask_time_prob": 0.05,
+  "mask_time_selection": "static",
+  "model_type": "wav2vec2",
+  "num_attention_heads": 16,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "pad_token_id": 31,
+  "transformers_version": "4.5.0.dev0",
+  "vocab_size": 32
+}

optimizer.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0dd23eb8c05c61285285dee9cafa8f505c45287f812b6673cea57e688848d5c3
+size 2490339591

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

pytorch_model.bin

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+oid sha256:617f43071c391eb3d5f1e05524fea60e6387d74a5bf430e615e0402dcc96232b
+size 1262065048

scheduler.pt

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+oid sha256:ad552f0c4edf75ff8663b090de54960957bb3c3100fe49d79c27191cb7c425d7
+size 623

special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}

tokenizer_config.json

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+{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|"}

trainer_state.json

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+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.2207527975584944,
+  "global_step": 1200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "epoch": 0.41,
+      "learning_rate": 0.00023999999999999998,
+      "loss": 4.7996,
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+      "eval_samples_per_second": 8.127,
+      "eval_wer": 1.0,
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+      "learning_rate": 0.0002968954812004139,
+      "loss": 2.0295,
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+  "max_steps": 29490,
+  "num_train_epochs": 30,
+  "total_flos": 6.668424512230441e+18,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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+size 2351

vocab.json

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+{"a": 0, "b": 1, "c": 2, "d": 3, "e": 4, "f": 5, "g": 6, "h": 7, "i": 8, "j": 9, "k": 10, "l": 11, "m": 12, "n": 13, "o": 14, "p": 15, "q": 16, "r": 17, "s": 18, "t": 19, "u": 20, "v": 21, "w": 22, "x": 23, "y": 24, "z": 25, "ä": 26, "ö": 27, "ü": 28, "|": 29, "[UNK]": 30, "[PAD]": 31}