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Upload T5ForConditionalGeneration

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Files changed (3) hide show
  1. config.json +44 -0
  2. generation_config.json +7 -0
  3. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "UBC-NLP/AraT5-msa-base",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 2048,
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+ "d_kv": 64,
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+ "d_model": 768,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-gelu",
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+ "gradient_checkpointing": false,
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "num_decoder_layers": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "quantization_config": {
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+ "bnb_4bit_compute_dtype": "float32",
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+ "bnb_4bit_quant_type": "fp4",
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+ "bnb_4bit_use_double_quant": false,
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+ "llm_int8_enable_fp32_cpu_offload": false,
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+ "llm_int8_has_fp16_weight": false,
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+ "llm_int8_skip_modules": null,
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": false,
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+ "load_in_8bit": true,
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+ "quant_method": "bitsandbytes"
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+ },
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.32.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 110080
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.32.0.dev0"
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+ }
pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:94feca28f1b1697edd38731f6f0b5866d3754bc88eaa4be868804abfede73a59
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+ size 481604593