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ca-finetuned-flan-t5-base

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  1. README.md +69 -0
  2. config.json +33 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/flan-t5-large
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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: results
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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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+ # results
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+
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+ This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2210
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+ - Accuracy: 0.5278
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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: 0.0003
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 23 | 0.4198 | 0.4583 |
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+ | No log | 2.0 | 46 | 0.6231 | 0.4667 |
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+ | No log | 3.0 | 69 | 0.7353 | 0.4861 |
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+ | No log | 4.0 | 92 | 0.8451 | 0.5222 |
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+ | No log | 5.0 | 115 | 1.0997 | 0.4778 |
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+ | No log | 6.0 | 138 | 0.9635 | 0.475 |
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+ | No log | 7.0 | 161 | 1.0427 | 0.5083 |
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+ | No log | 8.0 | 184 | 1.1425 | 0.5167 |
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+ | No log | 9.0 | 207 | 1.2012 | 0.525 |
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+ | No log | 10.0 | 230 | 1.2210 | 0.5278 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "google/flan-t5-large",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 2816,
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+ "d_kv": 64,
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+ "d_model": 1024,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-gelu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 24,
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+ "num_heads": 16,
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+ "num_layers": 24,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
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