Model save
Browse files- README.md +3 -4
- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- all_results.json +8 -8
- eval_results.json +4 -4
- runs/Jan21_18-49-28_98f107f1aa39/events.out.tfevents.1705863099.98f107f1aa39.101023.2 +3 -0
- runs/Jan21_18-49-28_98f107f1aa39/events.out.tfevents.1705863178.98f107f1aa39.101023.3 +3 -0
- train_results.json +4 -4
- trainer_state.json +5 -5
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- trl
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- generated_from_trainer
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datasets:
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- generator
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base_model:
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model-index:
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- name: Tukan-1.1B-Chat-reasoning-sft-COLA
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results: []
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# Tukan-1.1B-Chat-reasoning-sft-COLA
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This model
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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---
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library_name: peft
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tags:
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- trl
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- generated_from_trainer
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datasets:
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- generator
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base_model: data/Tukan-1.1B-Chat-reasoning-sft-COLA_merged_0
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model-index:
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- name: Tukan-1.1B-Chat-reasoning-sft-COLA
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results: []
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# Tukan-1.1B-Chat-reasoning-sft-COLA
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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: 1.5414
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## Model description
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adapter_config.json
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{
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"alpha_pattern": {},
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"base_model_name_or_path": "
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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": "data/Tukan-1.1B-Chat-reasoning-sft-COLA_merged_0",
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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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all_results.json
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"epoch": 0.95,
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"eval_loss": 1.
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"train_loss": 1.
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"train_loss": 1.5626062154769897,
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eval_results.json
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runs/Jan21_18-49-28_98f107f1aa39/events.out.tfevents.1705863099.98f107f1aa39.101023.2
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runs/Jan21_18-49-28_98f107f1aa39/events.out.tfevents.1705863178.98f107f1aa39.101023.3
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version https://git-lfs.github.com/spec/v1
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train_results.json
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trainer_state.json
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