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gnumanth/gita

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README.md ADDED
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+ ---
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+ license: other
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+ base_model: facebook/opt-125m
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: tmp_trainer
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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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+ # tmp_trainer
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+
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+ This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) 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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 3.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_remove_final_layer_norm": false,
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "OPTForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "do_layer_norm_before": true,
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+ "dropout": 0.1,
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+ "enable_bias": true,
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+ "eos_token_id": 2,
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+ "ffn_dim": 3072,
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+ "hidden_size": 768,
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+ "init_std": 0.02,
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+ "layer_norm_elementwise_affine": true,
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+ "layerdrop": 0.0,
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+ "max_position_embeddings": 2048,
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+ "model_type": "opt",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "prefix": "</s>",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.1",
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+ "use_cache": true,
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+ "vocab_size": 50272,
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+ "word_embed_proj_dim": 768
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+ }
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