End of training
Browse files- README.md +14 -14
- adapter_config.json +30 -30
- adapter_model.safetensors +1 -1
- special_tokens_map.json +23 -23
- tokenizer_config.json +119 -119
- training_args.bin +1 -1
README.md
CHANGED
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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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-
- sft
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- generated_from_trainer
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base_model: ybelkada/falcon-7b-sharded-bf16
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model-index:
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- name: results_HPE
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results: []
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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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@@ -43,7 +43,7 @@ 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: constant
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.10.1.dev0
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-
- Transformers 4.40.
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-
- Pytorch 2.
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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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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+
- sft
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+
- generated_from_trainer
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+
base_model: ybelkada/falcon-7b-sharded-bf16
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model-index:
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- name: results_HPE
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+
results: []
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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+
- training_steps: 320
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.10.1.dev0
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+
- Transformers 4.40.2
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+
- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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adapter_config.json
CHANGED
@@ -1,31 +1,31 @@
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"base_model_name_or_path": "ybelkada/falcon-7b-sharded-bf16",
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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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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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"dense_h_to_4h",
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"dense_4h_to_h"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"bias": "none",
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query_key_value",
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"dense",
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"dense_h_to_4h",
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"dense_4h_to_h"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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special_tokens_map.json
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tokenizer_config.json
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}
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training_args.bin
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