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alshelt
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ctrlsum-led-base-cnndm

Text2Text Generation
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led
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  1. README.md +98 -0
  2. generation_config.json +8 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: allenai/led-base-16384
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: hf
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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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+ # hf
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+
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+ This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2202
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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: 3e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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: polynomial
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 20000
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+ - mixed_precision_training: Native AMP
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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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+ | 0.255 | 0.0 | 500 | 0.2798 |
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+ | 0.211 | 0.01 | 1000 | 0.2655 |
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+ | 0.2399 | 0.01 | 1500 | 0.2625 |
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+ | 0.2183 | 0.01 | 2000 | 0.2533 |
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+ | 0.2375 | 0.02 | 2500 | 0.2501 |
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+ | 0.2452 | 0.02 | 3000 | 0.2477 |
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+ | 0.2636 | 0.02 | 3500 | 0.2474 |
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+ | 0.2289 | 0.03 | 4000 | 0.2476 |
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+ | 0.2453 | 0.03 | 4500 | 0.2443 |
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+ | 0.2081 | 0.03 | 5000 | 0.2441 |
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+ | 0.1655 | 0.04 | 5500 | 0.2422 |
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+ | 0.2765 | 0.04 | 6000 | 0.2386 |
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+ | 0.2797 | 0.05 | 6500 | 0.2398 |
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+ | 0.1902 | 0.05 | 7000 | 0.2393 |
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+ | 0.1875 | 0.05 | 7500 | 0.2363 |
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+ | 0.2048 | 0.06 | 8000 | 0.2371 |
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+ | 0.1695 | 0.06 | 8500 | 0.2341 |
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+ | 0.2121 | 0.06 | 9000 | 0.2348 |
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+ | 0.2402 | 0.07 | 9500 | 0.2331 |
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+ | 0.1865 | 0.07 | 10000 | 0.2324 |
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+ | 0.1862 | 0.07 | 10500 | 0.2329 |
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+ | 0.2382 | 0.08 | 11000 | 0.2323 |
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+ | 0.2703 | 0.08 | 11500 | 0.2300 |
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+ | 0.2303 | 0.08 | 12000 | 0.2297 |
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+ | 0.2258 | 0.09 | 12500 | 0.2287 |
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+ | 0.1924 | 0.09 | 13000 | 0.2271 |
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+ | 0.1849 | 0.09 | 13500 | 0.2269 |
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+ | 0.2288 | 0.1 | 14000 | 0.2257 |
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+ | 0.2461 | 0.1 | 14500 | 0.2259 |
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+ | 0.2509 | 0.1 | 15000 | 0.2241 |
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+ | 0.2087 | 0.11 | 15500 | 0.2245 |
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+ | 0.1707 | 0.11 | 16000 | 0.2243 |
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+ | 0.2053 | 0.11 | 16500 | 0.2238 |
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+ | 0.2157 | 0.12 | 17000 | 0.2225 |
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+ | 0.1976 | 0.12 | 17500 | 0.2218 |
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+ | 0.2626 | 0.13 | 18000 | 0.2213 |
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+ | 0.2032 | 0.13 | 18500 | 0.2209 |
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+ | 0.2928 | 0.13 | 19000 | 0.2207 |
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+ | 0.2438 | 0.14 | 19500 | 0.2205 |
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+ | 0.2028 | 0.14 | 20000 | 0.2202 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "eos_token_id": 2,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.37.2"
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+ }