Text-to-Speech
IndexTTS
Index-TTS / config.json
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--- license: apache-2.0 datasets: - CoIR-Retrieval/CodeSearchNet-python-queries-corpus language: - en - ar - zh - ru - fr metrics: - loss - accuracy base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 pipeline_tag: text-generation library_name: transformers tags: - chat - conversational - programming - algorithms - ethical-hacking - open-source - tinyllama new_version: v1.0 training_data: 156GB of diverse text data (including programming and algorithmic content) model-index: - name: TINYLAMA results: - task: type: text-generation dataset: type: custom name: Local Dataset (156GB) metrics: - type: loss value: TBD (To Be Determined after retraining) - type: accuracy value: TBD (To Be Determined after retraining) eval_results: - task: Text Generation dataset: Local Dataset (156GB) metrics: - name: Loss value: TBD (To Be Determined after retraining) - name: Accuracy value: TBD (To Be Determined after retraining)
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{
"_num_labels": 1,
"activation_function": "gelu_new",
"architectures": [
"GPT2LMHeadModel"
],
"attn_pdrop": 0.1,
"bos_token_id": 50256,
"embd_pdrop": 0.1,
"eos_token_id": 50256,
"id2label": {
"0": "LABEL_0"
},
"initializer_range": 0.02,
"label2id": {
"LABEL_0": 0
},
"layer_norm_epsilon": 1e-05,
"model_type": "gpt2",
"n_ctx": 1024,
"n_embd": 768,
"n_head": 12,
"n_inner": null,
"n_layer": 6,
"n_positions": 1024,
"reorder_and_upcast_attn": false,
"resid_pdrop": 0.1,
"scale_attn_by_inverse_layer_idx": false,
"scale_attn_weights": true,
"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "cls_index",
"summary_use_proj": true,
"task_specific_params": {
"text-generation": {
"do_sample": true,
"max_length": 50
}
},
"torch_dtype": "float16",
"transformers_version": "4.51.1",
"use_cache": true,
"vocab_size": 50257
}