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End of training

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.gitattributes CHANGED
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README.md ADDED
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+ ---
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+ license: gemma
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+ base_model: google/gemma-2-2b-it
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+ tags:
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+ - xcomet_xl_xxl
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+ - generated_from_trainer
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+ model-index:
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+ - name: sft-xcomet_xl_xxl-chosen-10lp-shuff-full-gemma
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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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+ # sft-xcomet_xl_xxl-chosen-10lp-shuff-full-gemma
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+
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+ This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the Unbabel/TowerAligned-v0.1 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: 1
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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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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+
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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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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ },
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+ "255994": {
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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ "lstrip": false,
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+ },
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+ "255995": {
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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ "lstrip": false,
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+ "single_word": false,
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+ "special": false
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+ },
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+ "255996": {
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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ },
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+ "255998": {
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+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+ },
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+ "255999": {
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+ "content": "<unused99>",
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+ "special": false
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+ }
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+ },
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+ "additional_special_tokens": [
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+ "<start_of_turn>",
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+ "<end_of_turn>"
2001
+ ],
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+ "bos_token": "<bos>",
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+ "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
2004
+ "clean_up_tokenization_spaces": false,
2005
+ "eos_token": "<eos>",
2006
+ "model_max_length": 1000000000000000019884624838656,
2007
+ "pad_token": "[PAD]",
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+ "sp_model_kwargs": {},
2009
+ "spaces_between_special_tokens": false,
2010
+ "tokenizer_class": "GemmaTokenizer",
2011
+ "unk_token": "<unk>",
2012
+ "use_default_system_prompt": false
2013
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ size 6584