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  2. README.md +62 -0
  3. all_results.json +9 -0
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  5. generation_config.json +7 -0
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README.md ADDED
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+ ---
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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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+ - generator
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+ model-index:
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+ - name: zephyr-2b-gemma-dft-debug
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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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+ # zephyr-2b-gemma-dft-debug
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+
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+ This model was trained from scratch on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2957.4309
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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: 2e-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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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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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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+ | 2978.2934 | 0.9982 | 270 | 2957.4309 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.3
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "train_samples_per_second": 3.461,
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+ "train_steps_per_second": 0.108
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+ }
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+ "max_position_embeddings": 8192,
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+ "model_type": "gemma",
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+ "num_attention_heads": 8,
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+ "num_key_value_heads": 1,
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+ "pad_token_id": 0,
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+ "rms_norm_eps": 1e-06,
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+ "transformers_version": "4.43.3",
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+ "use_cache": false,
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+ "vocab_size": 256000
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