abhinavp commited on
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Training in progress, step 10

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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: dummy_fict-full-lstm-42
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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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+ # dummy_fict-full-lstm-42
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 7.8141
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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: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 10.813 | 0.08 | 10 | 10.8032 |
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+ | 10.793 | 0.16 | 20 | 10.7786 |
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+ | 10.7565 | 0.24 | 30 | 10.7117 |
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+ | 10.5835 | 0.32 | 40 | 10.2088 |
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+ | 9.8124 | 0.4 | 50 | 9.1973 |
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+ | 9.0079 | 0.48 | 60 | 8.6022 |
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+ | 8.5534 | 0.56 | 70 | 8.2718 |
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+ | 8.3394 | 0.64 | 80 | 8.0790 |
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+ | 8.2026 | 0.72 | 90 | 7.9587 |
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+ | 8.0804 | 0.8 | 100 | 7.8829 |
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+ | 8.0245 | 0.88 | 110 | 7.8368 |
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+ | 8.0949 | 0.96 | 120 | 7.8141 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.0.1
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
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+ "RNNForLanguageModeling"
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+ ],
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+ "bidirectional": false,
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+ "dropout_p": 0.1,
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+ "emb_init_range": 0.1,
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+ "embedding_dim": 1024,
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+ "embedding_kwargs": {},
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+ "hidden_dim": 1024,
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+ "lin_init_range": 0.03125,
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+ "lm_in_features": 1024,
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+ "model_type": "rnn",
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+ "num_layers": 2,
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+ "output_last_state": false,
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+ "output_recurrent_outputs": false,
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+ "recur_init_range": 0.03125,
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+ "rnn_kwargs": {},
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+ "rnn_type": "LSTM",
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+ "tie_weights": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.3",
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+ "vocab_size": 50002
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+ }
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