Initial CV 8.0 model
Browse files- config.json +108 -0
- optimizer.pt +3 -0
- preprocessor_config.json +10 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- trainer_state.json +288 -0
- training_args.bin +3 -0
config.json
ADDED
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@@ -0,0 +1,108 @@
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{
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"_name_or_path": "facebook/wav2vec2-xls-r-300m",
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| 3 |
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"activation_dropout": 0.0,
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| 4 |
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"adapter_kernel_size": 3,
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| 5 |
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"adapter_stride": 2,
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| 6 |
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"add_adapter": false,
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| 7 |
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"apply_spec_augment": true,
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| 8 |
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"architectures": [
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"Wav2Vec2ForCTC"
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| 10 |
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],
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| 11 |
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"attention_dropout": 0.0,
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| 12 |
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"bos_token_id": 1,
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| 13 |
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"classifier_proj_size": 256,
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| 14 |
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"codevector_dim": 768,
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| 15 |
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"contrastive_logits_temperature": 0.1,
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| 16 |
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"conv_bias": true,
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| 17 |
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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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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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2,
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": false,
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| 46 |
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"diversity_loss_weight": 0.1,
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| 47 |
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"do_stable_layer_norm": true,
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| 48 |
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"eos_token_id": 2,
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| 49 |
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"feat_extract_activation": "gelu",
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| 50 |
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"feat_extract_dropout": 0.0,
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| 51 |
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"feat_extract_norm": "layer",
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| 52 |
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"feat_proj_dropout": 0.0,
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| 53 |
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"feat_quantizer_dropout": 0.0,
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| 54 |
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"final_dropout": 0.0,
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| 55 |
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"gradient_checkpointing": false,
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| 56 |
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"hidden_act": "gelu",
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| 57 |
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"hidden_dropout": 0.0,
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| 58 |
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"hidden_size": 1024,
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| 59 |
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"initializer_range": 0.02,
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| 60 |
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"intermediate_size": 4096,
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| 61 |
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"layer_norm_eps": 1e-05,
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| 62 |
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"layerdrop": 0.0,
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| 63 |
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"mask_feature_length": 10,
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| 64 |
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"mask_feature_min_masks": 0,
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| 65 |
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"mask_feature_prob": 0.0,
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| 66 |
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"mask_time_length": 10,
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| 67 |
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"mask_time_min_masks": 2,
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| 68 |
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"mask_time_prob": 0.05,
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| 69 |
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"model_type": "wav2vec2",
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| 70 |
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"num_adapter_layers": 3,
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| 71 |
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"num_attention_heads": 16,
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| 72 |
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"num_codevector_groups": 2,
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| 73 |
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"num_codevectors_per_group": 320,
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| 74 |
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"num_conv_pos_embedding_groups": 16,
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| 75 |
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"num_conv_pos_embeddings": 128,
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| 76 |
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"num_feat_extract_layers": 7,
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| 77 |
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"num_hidden_layers": 24,
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| 78 |
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"num_negatives": 100,
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| 79 |
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"output_hidden_size": 1024,
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| 80 |
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"pad_token_id": 43,
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| 81 |
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"proj_codevector_dim": 768,
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| 82 |
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"tdnn_dilation": [
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| 83 |
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1,
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2,
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3,
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1,
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1
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],
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| 89 |
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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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| 95 |
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],
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"tdnn_kernel": [
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5,
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3,
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3,
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1,
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1
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| 102 |
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],
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| 103 |
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"torch_dtype": "float32",
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| 104 |
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"transformers_version": "4.16.0.dev0",
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| 105 |
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"use_weighted_layer_sum": false,
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| 106 |
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"vocab_size": 46,
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| 107 |
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"xvector_output_dim": 512
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}
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optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9a9d761e6f780e99089191e7ffa24e2a89ad23a8410feb77c290632bc296de4
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size 2490436113
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preprocessor_config.json
ADDED
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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": "Wav2Vec2Processor",
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:bac8b9bb8d3e9f421a115fc0eb137f2bbd90c1eeee93d9a2de231922740eb66d
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size 1262112241
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:490ca80b725ae7cc84f79c45a41ad8d08cf8b31084d829c0315d48f6217697f4
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size 14567
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scaler.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:27b32535e1492f5590f3993b428ea4ab0f5e62a1483a35f70f699d94966b2d49
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size 559
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:0a12aff91ce999c303898b72fd3524f256ca19e4a494318ba7aec968280f26bd
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size 623
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trainer_state.json
ADDED
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@@ -0,0 +1,288 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
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"best_model_checkpoint": null,
|
| 4 |
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"epoch": 137.09493670886076,
|
| 5 |
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"global_step": 4250,
|
| 6 |
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"is_hyper_param_search": false,
|
| 7 |
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"is_local_process_zero": true,
|
| 8 |
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"is_world_process_zero": true,
|
| 9 |
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"log_history": [
|
| 10 |
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{
|
| 11 |
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"epoch": 8.06,
|
| 12 |
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"learning_rate": 3.5e-05,
|
| 13 |
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"loss": 7.2926,
|
| 14 |
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"step": 250
|
| 15 |
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},
|
| 16 |
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{
|
| 17 |
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"epoch": 8.06,
|
| 18 |
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"eval_cer": 1.0,
|
| 19 |
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"eval_loss": 3.8496713638305664,
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| 20 |
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"eval_runtime": 271.7106,
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| 21 |
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"eval_samples_per_second": 26.745,
|
| 22 |
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"eval_steps_per_second": 3.345,
|
| 23 |
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"eval_wer": 1.0,
|
| 24 |
+
"step": 250
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 16.13,
|
| 28 |
+
"learning_rate": 7e-05,
|
| 29 |
+
"loss": 3.417,
|
| 30 |
+
"step": 500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 16.13,
|
| 34 |
+
"eval_cer": 0.9856759584948347,
|
| 35 |
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"eval_loss": 3.285226583480835,
|
| 36 |
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"eval_runtime": 275.8724,
|
| 37 |
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"eval_samples_per_second": 26.342,
|
| 38 |
+
"eval_steps_per_second": 3.295,
|
| 39 |
+
"eval_wer": 1.0,
|
| 40 |
+
"step": 500
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"epoch": 24.19,
|
| 44 |
+
"learning_rate": 6.578313253012048e-05,
|
| 45 |
+
"loss": 2.0264,
|
| 46 |
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"step": 750
|
| 47 |
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},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 24.19,
|
| 50 |
+
"eval_cer": 0.176804441300443,
|
| 51 |
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"eval_loss": 0.7098603248596191,
|
| 52 |
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"eval_runtime": 269.2535,
|
| 53 |
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"eval_samples_per_second": 26.989,
|
| 54 |
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"eval_steps_per_second": 3.376,
|
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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