motheecreator
commited on
Commit
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Parent(s):
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End of training
Browse files- README.md +82 -0
- config.json +126 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- runs/Apr16_16-45-02_6858365b40e2/events.out.tfevents.1713286564.6858365b40e2.34.0 +3 -0
- runs/Apr16_17-11-47_6858365b40e2/events.out.tfevents.1713287508.6858365b40e2.370.0 +3 -0
- runs/Apr16_18-22-28_7a868e312e3d/events.out.tfevents.1713291821.7a868e312e3d.84.0 +3 -0
- runs/Apr16_18-41-46_7a868e312e3d/events.out.tfevents.1713292925.7a868e312e3d.394.0 +3 -0
- runs/Apr16_19-14-36_7a868e312e3d/events.out.tfevents.1713295090.7a868e312e3d.702.0 +3 -0
- runs/Apr16_19-39-25_ccd0e5f89ee3/events.out.tfevents.1713296786.ccd0e5f89ee3.34.0 +3 -0
- runs/Apr16_20-10-45_ccd0e5f89ee3/events.out.tfevents.1713298247.ccd0e5f89ee3.385.0 +3 -0
- runs/Apr16_21-42-23_ba1b200fa8ac/events.out.tfevents.1713304105.ba1b200fa8ac.82.0 +3 -0
- runs/Apr16_22-34-57_5439874391db/events.out.tfevents.1713306905.5439874391db.86.0 +3 -0
- runs/Apr16_22-39-06_5439874391db/events.out.tfevents.1713307152.5439874391db.86.1 +3 -0
- runs/Apr16_22-39-06_5439874391db/events.out.tfevents.1713330526.5439874391db.86.2 +3 -0
- training_args.bin +3 -0
README.md
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---
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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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datasets:
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- audiofolder
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-finetuned-ks
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results:
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- task:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: audiofolder
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type: audiofolder
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config: default
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split: validation
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9994443415447305
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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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# wav2vec2-base-finetuned-ks
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0031
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- Accuracy: 0.9994
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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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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| 0.0085 | 1.0 | 421 | 0.0133 | 0.9977 |
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| 0.0005 | 2.0 | 842 | 0.0060 | 0.9986 |
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| 0.0002 | 3.0 | 1263 | 0.0031 | 0.9994 |
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| 0.0002 | 4.0 | 1684 | 0.0033 | 0.9993 |
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| 0.0001 | 5.0 | 2105 | 0.0028 | 0.9994 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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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10,
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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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],
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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": "fake",
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"1": "real"
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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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"fake": "0",
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"real": "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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"tdnn_dim": [
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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": "4.39.3",
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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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model.safetensors
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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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"sampling_rate": 16000
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 411
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc6602863174aec8eb964caea8c7925627ffd55918d0a6fc55e1875fd99b6b4c
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size 4984
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