End of training

README.md

@@ -0,0 +1,52 @@
+---
+library_name: transformers
+base_model: fahadqazi/testts1234
+tags:
+- generated_from_trainer
+model-index:
+- name: testts1234
+  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. -->
+
+# testts1234
+
+This model is a fine-tuned version of [fahadqazi/testts1234](https://huggingface.co/fahadqazi/testts1234) on the None dataset.
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- training_steps: 20000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
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+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.47.1",
+  "use_cache": false
+}

model.safetensors

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preprocessor_config.json

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 {
   "do_normalize": false,
   "feature_extractor_type": "SpeechT5FeatureExtractor",
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+  "feature_size": 80,
   "fmax": 7600,
   "fmin": 80,
   "frame_signal_scale": 1.0,

training_args.bin

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