IbrahimTarek
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IbrahimTarek/Boiler_gemma7b
Browse files- README.md +3 -3
- adapter_config.json +1 -1
- adapter_model.safetensors +2 -2
- runs/Apr14_09-54-15_88d58899358b/events.out.tfevents.1713088471.88d58899358b.1884.0 +3 -0
- runs/Apr14_09-55-27_88d58899358b/events.out.tfevents.1713088534.88d58899358b.1884.1 +3 -0
- tokenizer_config.json +0 -1
- training_args.bin +1 -1
README.md
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@@ -3,7 +3,7 @@ license: gemma
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: google/gemma-
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model-index:
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- name: your-model
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results: []
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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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# your-model
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This model is a fine-tuned version of [google/gemma-
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## Model description
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@@ -42,7 +42,7 @@ The following hyperparameters were used during training:
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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: 0.05
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-
- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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library_name: peft
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tags:
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- generated_from_trainer
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+
base_model: google/gemma-7b-it
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model-index:
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- name: your-model
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results: []
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# your-model
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This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on an unknown dataset.
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## Model description
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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: 0.05
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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adapter_config.json
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@@ -1,7 +1,7 @@
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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-
"base_model_name_or_path": "google/gemma-
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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+
"base_model_name_or_path": "google/gemma-7b-it",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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oid sha256:
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-
size
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size 12859872
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runs/Apr14_09-54-15_88d58899358b/events.out.tfevents.1713088471.88d58899358b.1884.0
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runs/Apr14_09-55-27_88d58899358b/events.out.tfevents.1713088534.88d58899358b.1884.1
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size 266640
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tokenizer_config.json
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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 %}",
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"clean_up_tokenization_spaces": false,
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-
"device": "cuda",
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"eos_token": "<eos>",
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"legacy": null,
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"model_max_length": 1000000000000000019884624838656,
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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 %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<eos>",
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"legacy": null,
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"model_max_length": 1000000000000000019884624838656,
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training_args.bin
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size 4984
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size 4984
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