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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-base
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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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+ datasets:
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+ - samsum
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+ model-index:
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+ - name: samsum_flan_t5_base
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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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+ # samsum_flan_t5_base
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3607
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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-07
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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: 3
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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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+ | 1.0241 | 1.0 | 250 | 0.6640 |
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+ | 0.8026 | 2.0 | 500 | 0.4210 |
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+ | 0.7232 | 3.0 | 750 | 0.3607 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ {
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+ "epoch": 3.0,
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+ "eval_loss": 0.36069929599761963,
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+ "eval_runtime": 8.27,
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+ "eval_samples": 100,
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+ "eval_samples_per_second": 12.092,
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+ "eval_steps_per_second": 3.023,
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+ "total_flos": 1643160861868032.0,
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+ "train_loss": 0.9967304169336955,
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+ "train_runtime": 1090.7577,
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+ "train_samples": 1000,
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+ "train_samples_per_second": 2.75,
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+ "train_steps_per_second": 0.688
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+ }
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+ {
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+ "_name_or_path": "google/flan-t5-base",
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+ "T5ForConditionalGeneration"
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+ ],
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+ "translation_en_to_de": {
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+ "prefix": "translate English to German: "
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+ },
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+ "translation_en_to_fr": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to French: "
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+ "translation_en_to_ro": {
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+ "prefix": "translate English to Romanian: "
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+ }
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+ "transformers_version": "4.41.2",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
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+ "eval_steps_per_second": 3.023
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+ }
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