End of training

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README.md

@@ -0,0 +1,117 @@
+---
+license: apache-2.0
+base_model: lighteternal/wav2vec2-large-xlsr-53-greek
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: working
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/soba03/wav2vec2/runs/r1enwfr9)
+# working
+
+This model is a fine-tuned version of [lighteternal/wav2vec2-large-xlsr-53-greek](https://huggingface.co/lighteternal/wav2vec2-large-xlsr-53-greek) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0076
+- Accuracy: 0.9984
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 550
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.3693        | 0.0039 | 10   | 0.4063          | 0.8983   |
+| 0.4466        | 0.0079 | 20   | 0.4230          | 0.8983   |
+| 0.3205        | 0.0118 | 30   | 0.2852          | 0.8983   |
+| 0.3037        | 0.0158 | 40   | 0.2173          | 0.9009   |
+| 0.3259        | 0.0197 | 50   | 0.2704          | 0.8554   |
+| 0.2012        | 0.0236 | 60   | 0.1175          | 0.9446   |
+| 0.1654        | 0.0276 | 70   | 0.0382          | 0.9894   |
+| 0.0635        | 0.0315 | 80   | 0.0470          | 0.9819   |
+| 0.0182        | 0.0355 | 90   | 0.2888          | 0.9159   |
+| 0.2049        | 0.0394 | 100  | 0.1801          | 0.9486   |
+| 0.1128        | 0.0433 | 110  | 0.0171          | 0.9953   |
+| 0.0246        | 0.0473 | 120  | 0.0321          | 0.9896   |
+| 0.1879        | 0.0512 | 130  | 0.0337          | 0.9903   |
+| 0.0582        | 0.0552 | 140  | 0.0077          | 0.9978   |
+| 0.0052        | 0.0591 | 150  | 0.1915          | 0.9494   |
+| 0.0023        | 0.0630 | 160  | 0.0554          | 0.9866   |
+| 0.0634        | 0.0670 | 170  | 0.0636          | 0.9850   |
+| 0.0058        | 0.0709 | 180  | 0.2431          | 0.9446   |
+| 0.0365        | 0.0749 | 190  | 0.0071          | 0.9982   |
+| 0.0046        | 0.0788 | 200  | 0.0180          | 0.9953   |
+| 0.0227        | 0.0827 | 210  | 0.0186          | 0.9955   |
+| 0.0003        | 0.0867 | 220  | 0.0268          | 0.9943   |
+| 0.1036        | 0.0906 | 230  | 0.0303          | 0.9929   |
+| 0.0764        | 0.0946 | 240  | 0.0070          | 0.9986   |
+| 0.0013        | 0.0985 | 250  | 0.0051          | 0.9990   |
+| 0.1667        | 0.1024 | 260  | 0.0078          | 0.9986   |
+| 0.0399        | 0.1064 | 270  | 0.0085          | 0.9982   |
+| 0.0058        | 0.1103 | 280  | 0.0387          | 0.9894   |
+| 0.0767        | 0.1143 | 290  | 0.0238          | 0.9931   |
+| 0.0011        | 0.1182 | 300  | 0.0148          | 0.9965   |
+| 0.0019        | 0.1221 | 310  | 0.0123          | 0.9972   |
+| 0.0518        | 0.1261 | 320  | 0.0087          | 0.9976   |
+| 0.0019        | 0.1300 | 330  | 0.0213          | 0.9943   |
+| 0.0006        | 0.1340 | 340  | 0.0309          | 0.9927   |
+| 0.0007        | 0.1379 | 350  | 0.0360          | 0.9911   |
+| 0.0007        | 0.1418 | 360  | 0.0356          | 0.9913   |
+| 0.0022        | 0.1458 | 370  | 0.0431          | 0.9901   |
+| 0.0009        | 0.1497 | 380  | 0.0349          | 0.9919   |
+| 0.0005        | 0.1537 | 390  | 0.0247          | 0.9941   |
+| 0.0242        | 0.1576 | 400  | 0.0211          | 0.9953   |
+| 0.0003        | 0.1615 | 410  | 0.0097          | 0.9976   |
+| 0.0003        | 0.1655 | 420  | 0.0076          | 0.9986   |
+| 0.0004        | 0.1694 | 430  | 0.0070          | 0.9988   |
+| 0.0003        | 0.1734 | 440  | 0.0070          | 0.9990   |
+| 0.0198        | 0.1773 | 450  | 0.0036          | 0.9990   |
+| 0.0006        | 0.1812 | 460  | 0.0027          | 0.9994   |
+| 0.0002        | 0.1852 | 470  | 0.0025          | 0.9994   |
+| 0.0011        | 0.1891 | 480  | 0.0034          | 0.9992   |
+| 0.0006        | 0.1931 | 490  | 0.0049          | 0.9990   |
+| 0.0002        | 0.1970 | 500  | 0.0054          | 0.9990   |
+| 0.1014        | 0.2009 | 510  | 0.0066          | 0.9990   |
+| 0.0004        | 0.2049 | 520  | 0.0069          | 0.9990   |
+| 0.0004        | 0.2088 | 530  | 0.0070          | 0.9990   |
+| 0.001         | 0.2128 | 540  | 0.0075          | 0.9986   |
+| 0.0377        | 0.2167 | 550  | 0.0076          | 0.9984   |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.19.2.dev0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,127 @@
+{
+  "_name_or_path": "lighteternal/wav2vec2-large-xlsr-53-greek",
+  "activation_dropout": 0.0,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForSpeechClassification"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 256,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
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+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
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+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
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+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": true,
+  "diversity_loss_weight": 0.1,
+  "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,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "finetuning_task": "wav2vec2_clf",
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "bonafide",
+    "1": "spoof"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "bonafide": 0,
+    "spoof": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
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+  "mask_channel_min_space": 1,
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+  "mask_channel_prob": 0.0,
+  "mask_channel_selection": "static",
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
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+  "mask_time_other": 0.0,
+  "mask_time_prob": 0.05,
+  "mask_time_selection": "static",
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 54,
+  "pooling_mode": "mean",
+  "problem_type": "single_label_classification",
+  "proj_codevector_dim": 256,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
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+    512,
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+  ],
+  "tdnn_kernel": [
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+    3,
+    3,
+    1,
+    1
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+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0.dev0",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 55,
+  "xvector_output_dim": 512
+}

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+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
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'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False}
+2024-05-07 16:37:02,831 INFO    MainThread:24 [wandb_watch.py:watch():51] Watching
+2024-05-07 16:37:02,842 INFO    MainThread:24 [wandb_config.py:__setitem__():151] config set model/num_parameters = 316490370 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ccf8913ee60>>
+2024-05-07 16:37:02,842 INFO    MainThread:24 [wandb_run.py:_config_callback():1347] config_cb model/num_parameters 316490370 None

wandb/run-20240507_163646-r1enwfr9/files/output.log

@@ -0,0 +1 @@
+

wandb/run-20240507_163646-r1enwfr9/files/requirements.txt

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+2024-05-07 16:37:02,831 INFO    MainThread:24 [wandb_watch.py:watch():51] Watching
+2024-05-07 16:37:02,842 INFO    MainThread:24 [wandb_config.py:__setitem__():151] config set model/num_parameters = 316490370 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ccf8913ee60>>
+2024-05-07 16:37:02,842 INFO    MainThread:24 [wandb_run.py:_config_callback():1347] config_cb model/num_parameters 316490370 None

wandb/run-20240507_163646-r1enwfr9/run-r1enwfr9.wandb

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