CindyDelage
commited on
End of training
Browse files- README.md +69 -0
- config.json +126 -0
- emissions.csv +2 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- runs/Jan26_12-43-29_ee552674aaf0/events.out.tfevents.1737895415.ee552674aaf0.1460.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: FrugalAI
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# FrugalAI
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3655
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- Accuracy: 0.9352
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:-----:|:---------------:|:--------:|
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| 1.6006 | 0.9998 | 3527 | 0.3393 | 0.9120 |
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| 1.4189 | 1.9998 | 7054 | 0.3683 | 0.9249 |
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| 1.2676 | 2.9998 | 10581 | 0.4339 | 0.9177 |
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| 1.2291 | 3.9998 | 14108 | 0.3656 | 0.9318 |
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| 1.0559 | 4.9998 | 17635 | 0.3414 | 0.9331 |
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| 0.9488 | 5.9998 | 21162 | 0.3655 | 0.9352 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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config.json
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{
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"_name_or_path": "facebook/wav2vec2-base",
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"activation_dropout": 0.0,
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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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"Wav2Vec2ForSequenceClassification"
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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": false,
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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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],
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"conv_stride": [
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],
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"ctc_loss_reduction": "sum",
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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": false,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.1,
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"feat_quantizer_dropout": 0.0,
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"final_dropout": 0.0,
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"freeze_feat_extract_train": true,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "chainsaw",
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"1": "environment"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"chainsaw": "0",
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"environment": "1"
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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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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"no_mask_channel_overlap": false,
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"no_mask_time_overlap": false,
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"num_adapter_layers": 3,
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"num_attention_heads": 12,
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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": 12,
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 0,
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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],
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"tdnn_dim": [
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512,
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512,
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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": "4.47.1",
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"use_weighted_layer_sum": false,
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"vocab_size": 32,
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"xvector_output_dim": 512
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}
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emissions.csv
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timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2025-01-26T15:09:12,codecarbon,5faaf6b4-ff04-4ca1-9315-dcb8e608ec78,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,8705.248333129,0.1261530079238971,1.4491603581692755e-05,42.5,32.293039304405184,4.7530388832092285,0.10264580731599099,0.15384368363040402,0.011474747192826767,0.2679642381392215,Singapore,SGP,,,,Linux-6.1.85+-x86_64-with-glibc2.35,3.11.11,2.8.3,2,Intel(R) Xeon(R) CPU @ 2.20GHz,1,1 x Tesla T4,103.8507,1.2872,12.67477035522461,machine,N,1.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:328bf7323f0a3dfb4bd35251cede3afa47414d65cabc9fc2a8584b6825eee3a9
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size 378302360
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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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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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runs/Jan26_12-43-29_ee552674aaf0/events.out.tfevents.1737895415.ee552674aaf0.1460.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba27a2d3f66bc01d8c7950fc190843370519e824140f5fd040518e58f1b50c61
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size 18093
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:aaf872945fb330f3d94967768ec179f63bcbaa020774c85da9d8cadf7bf460dc
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size 5368
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