End of training
Browse files- last-checkpoint/config.json +0 -79
- last-checkpoint/optimizer.pt +0 -3
- last-checkpoint/preprocessor_config.json +0 -9
- last-checkpoint/pytorch_model.bin +0 -3
- last-checkpoint/rng_state.pth +0 -3
- last-checkpoint/scaler.pt +0 -3
- last-checkpoint/scheduler.pt +0 -3
- last-checkpoint/trainer_state.json +0 -31
- last-checkpoint/training_args.bin +0 -3
- pytorch_model.bin +1 -1
- runs/May10_17-48-18_e239e11c009a/events.out.tfevents.1652205417.e239e11c009a.241.0 +2 -2
last-checkpoint/config.json
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{
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"_name_or_path": "husnu/wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_5",
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"activation_dropout": 0.0,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 768,
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"contrastive_logits_temperature": 0.1,
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"conv_bias": true,
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"conv_dim": [
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512,
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],
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"conv_kernel": [
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"conv_stride": [
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_dropout": 0.0,
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"feat_extract_norm": "layer",
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"feat_proj_dropout": 0.0,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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"mask_feature_length": 10,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_prob": 0.05,
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"model_type": "wav2vec2",
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"num_attention_heads": 16,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"pad_token_id": 41,
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"proj_codevector_dim": 768,
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"torch_dtype": "float32",
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"transformers_version": "4.11.3",
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"use_weighted_layer_sum": false,
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"vocab_size": 44
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}
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last-checkpoint/optimizer.pt
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last-checkpoint/preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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last-checkpoint/pytorch_model.bin
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last-checkpoint/rng_state.pth
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last-checkpoint/scaler.pt
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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{
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last-checkpoint/training_args.bin
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pytorch_model.bin
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