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VTSNLP/base_LLM_200M

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: base_LLM_200M
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+ results: []
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+ ---
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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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+
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+ # base_LLM_200M
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+
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+ This model was trained from scratch on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3.6e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 1
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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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+ - num_epochs: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "base_LLM_200M/checkpoint-755000",
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+ "abili": false,
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+ "architectures": [
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+ "MptForCausalLM"
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+ ],
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+ "attn_config": {
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+ "model_type": ""
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+ },
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+ "d_model": 768,
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+ "emb_pdrop": 0.0,
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+ "embedding_fraction": 1.0,
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+ "expansion_ratio": 4,
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+ "init_device": "cpu",
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "learned_pos_emb": true,
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+ "logit_scale": null,
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+ "max_seq_len": 8192,
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+ "model_type": "mpt",
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+ "n_heads": 12,
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+ "n_layers": 12,
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+ "no_bias": true,
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+ "norm_type": "low_precision_layernorm",
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+ "pad_token_id": 128001,
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+ "resid_pdrop": 0.0,
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+ "rope": true,
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+ "rope_theta": 100000,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.40.1",
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+ "use_cache": false,
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+ "verbose": 0,
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+ "vocab_size": 128256
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "transformers_version": "4.40.1",
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+ "use_cache": false
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+ }
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