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README.md ADDED
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+ ---
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+ license: other
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: test-clm
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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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+ # test-clm
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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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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.6812
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+ - Accuracy: 0.3838
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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 4.27.0.dev0
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+ - Pytorch 1.13.1
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+ - Datasets 2.10.0
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+ - Tokenizers 0.13.2
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+ {
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+ "epoch": 3.0,
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+ "eval_loss": 3.6812021732330322,
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+ "eval_runtime": 36.7358,
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+ "eval_samples": 12,
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+ "eval_samples_per_second": 0.327,
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+ "eval_steps_per_second": 0.054,
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+ "perplexity": 39.69408456668703,
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+ "train_loss": 3.3883314344618056,
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+ "train_samples": 240,
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+ "train_samples_per_second": 0.097,
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+ "train_steps_per_second": 0.012
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+ }
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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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+ "word_embed_proj_dim": 768
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+ }
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