End of training
Browse files- README.md +70 -0
- adapter_1/adapter_config.json +32 -0
- adapter_1/adapter_model.safetensors +3 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- preprocessor_config.json +14 -0
- trainer_state.json +1636 -0
- training_args.bin +3 -0
README.md
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1 |
+
---
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+
license: apache-2.0
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+
library_name: peft
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tags:
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- generated_from_trainer
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base_model: openai/whisper-small
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model-index:
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- name: Whisper-small-Ar-MDD
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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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# Whisper-small-Ar-MDD
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2137
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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: 0.001
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- train_batch_size: 6
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- eval_batch_size: 6
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- seed: 42
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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_steps: 50
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0681 | 1.0 | 546 | 0.1955 |
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| 0.0367 | 2.0 | 1092 | 0.1992 |
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| 0.0382 | 3.0 | 1638 | 0.1857 |
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| 0.0189 | 4.0 | 2184 | 0.1970 |
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| 0.0274 | 5.0 | 2730 | 0.1894 |
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| 0.02 | 6.0 | 3276 | 0.1877 |
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| 0.0087 | 7.0 | 3822 | 0.1908 |
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| 0.0066 | 8.0 | 4368 | 0.2085 |
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| 0.0055 | 9.0 | 4914 | 0.2100 |
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| 0.0013 | 10.0 | 5460 | 0.2137 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_1/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
|
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"base_model_name_or_path": "openai/whisper-small",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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+
"layer_replication": null,
|
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+
"layers_pattern": null,
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"layers_to_transform": null,
|
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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18 |
+
"megatron_config": null,
|
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"megatron_core": "megatron.core",
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"modules_to_save": null,
|
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_1/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:abb0ebdc47891ae516deaeab040b653abd88b2dceb9990155159ce05013d93b9
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size 14176064
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-small",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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+
"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
|
15 |
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"loftq_config": {},
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16 |
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:de7195721032862164c68a850217a7bbc5a0df6dd26266eb5ee8c195bfb57721
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size 14176064
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preprocessor_config.json
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{
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"chunk_length": 30,
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"feature_extractor_type": "WhisperFeatureExtractor",
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"feature_size": 80,
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"hop_length": 160,
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"n_fft": 400,
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"n_samples": 480000,
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"nb_max_frames": 3000,
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"padding_side": "right",
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"padding_value": 0.0,
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"processor_class": "WhisperProcessor",
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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trainer_state.json
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