SaiSaketh commited on
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End of training

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README.md ADDED
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+ ---
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+ license: bigscience-bloom-rail-1.0
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+ base_model: bigscience/bloom-560m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: output
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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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+ # output
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+
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+ This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) 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: 2e-05
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+ - train_batch_size: 4
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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
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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 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
config.json ADDED
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+ {
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+ "_name_or_path": "bigscience/bloom-560m",
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+ "apply_residual_connection_post_layernorm": false,
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+ "architectures": [
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+ "BloomForQuestionAnswering"
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+ ],
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+ "attention_dropout": 0.0,
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+ "attention_softmax_in_fp32": true,
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+ "bias_dropout_fusion": true,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_dropout": 0.0,
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+ "hidden_size": 1024,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "masked_softmax_fusion": true,
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+ "model_type": "bloom",
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+ "n_head": 16,
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+ "n_inner": null,
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+ "n_layer": 24,
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+ "offset_alibi": 100,
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+ "pad_token_id": 3,
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+ "pretraining_tp": 1,
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+ "skip_bias_add": true,
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+ "skip_bias_add_qkv": false,
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+ "slow_but_exact": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.2",
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+ "unk_token_id": 0,
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+ "use_cache": true,
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+ "vocab_size": 250880
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+ }
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