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End of training

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  1. README.md +52 -0
  2. config.json +32 -0
  3. model-00001-of-00002.safetensors +3 -0
  4. model-00002-of-00002.safetensors +3 -0
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  6. runs/May04_03-52-58_rllm-niki-041a-advers-32-8l6p2/events.out.tfevents.1714794791.rllm-niki-041a-advers-32-8l6p2.66.0 +3 -0
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  10. runs/May04_03-52-58_rllm-niki-041a-advers-32-8l6p2/events.out.tfevents.1714850867.rllm-niki-041a-advers-32-8l6p2.66.4 +3 -0
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  12. runs/May04_03-52-58_rllm-niki-041a-advers-32-8l6p2/events.out.tfevents.1714882723.rllm-niki-041a-advers-32-8l6p2.66.6 +3 -0
  13. runs/May04_03-52-58_rllm-niki-041a-advers-32-8l6p2/events.out.tfevents.1714898492.rllm-niki-041a-advers-32-8l6p2.66.7 +3 -0
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  15. runs/May04_03-52-58_rllm-niki-041a-advers-32-8l6p2/events.out.tfevents.1714932120.rllm-niki-041a-advers-32-8l6p2.66.9 +3 -0
  16. special_tokens_map.json +24 -0
  17. tokenizer.json +0 -0
  18. tokenizer_config.json +213 -0
  19. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: EleutherAI/pythia-1.4b
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: robust_llm_pythia-1.4b_niki-041a_imdb_random-token-1280_10-rounds_seed-2
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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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+ # robust_llm_pythia-1.4b_niki-041a_imdb_random-token-1280_10-rounds_seed-2
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b) on an unknown dataset.
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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: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 2
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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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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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