Upload 8 files
Browse files- config.json +137 -0
- model.safetensors +3 -0
- optimizer-001.pt +3 -0
- preprocessor_config.json +10 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +846 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,137 @@
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{
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"_name_or_path": "jonatasgrosman/wav2vec2-large-xlsr-53-french",
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"activation_dropout": 0.05,
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"adapter_attn_dim": null,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForSpeechClassification"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"classifier_proj_size": 256,
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"codevector_dim": 256,
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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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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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],
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"conv_stride": [
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5,
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": true,
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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": 0.05,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"finetuning_task": "wav2vec2_clf",
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"hidden_act": "gelu",
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"hidden_dropout": 0.05,
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"hidden_size": 1024,
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"id2label": {
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"0": "Col\u041are",
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"1": "D\u0412go\u0426t",
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"2": "fear",
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"3": "happiness",
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"4": "neutral",
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"5": "sadness",
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"6": "surprise"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"Col\u041are": 0,
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"D\u0412go\u0426t": 1,
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"fear": 2,
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"happiness": 3,
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"neutral": 4,
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"sadness": 5,
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"surprise": 6
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.05,
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"mask_channel_length": 10,
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"mask_channel_min_space": 1,
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"mask_channel_other": 0.0,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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"mask_time_selection": "static",
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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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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"output_hidden_size": 1024,
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"pad_token_id": 0,
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"pooling_mode": "mean",
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"problem_type": "single_label_classification",
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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1,
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1,
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1
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],
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"tdnn_dim": [
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512,
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512,
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512,
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512,
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1500
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],
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"tdnn_kernel": [
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],
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"torch_dtype": "float32",
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"transformers_version": "4.37.0.dev0",
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"use_weighted_layer_sum": false,
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"vocab_size": 59,
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"xvector_output_dim": 512
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:56612f82edc9e2079aec99cec650ebd948dc9aacf3ebd967d3eb990a64d96024
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size 1266034804
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optimizer-001.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1b2db04267299f0c64c1b43e5d07e8ca607a3d574f51fc35f6e62a6ad9cbdf1
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size 2498615612
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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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"processor_class": "Wav2Vec2ProcessorWithLM",
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:62a0b5a9c071ff5a50cb7dfccc23394dcd8f419f218cd90883692f95ec2f1e32
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:99f05826c8342d8d3ab7caf2da89009e7eacabe953850ac5d3ed53997ef26d06
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size 1064
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trainer_state.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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