Farouk
commited on
Commit
Β·
5650484
1
Parent(s):
a87b441
Training in progress, step 8200
Browse files- adapter_model.bin +1 -1
- checkpoint-6000/adapter_model/adapter_model/README.md +0 -20
- checkpoint-6000/adapter_model/adapter_model/adapter_config.json +0 -26
- checkpoint-6000/adapter_model/adapter_model/adapter_model.bin +0 -3
- checkpoint-6200/adapter_model/adapter_model/README.md +12 -0
- checkpoint-6200/adapter_model/adapter_model/adapter_model.bin +1 -1
- {checkpoint-6000 β checkpoint-8200}/README.md +0 -0
- {checkpoint-6000 β checkpoint-8200}/adapter_config.json +0 -0
- {checkpoint-6000 β checkpoint-8200}/adapter_model.bin +1 -1
- {checkpoint-6000 β checkpoint-8200}/added_tokens.json +0 -0
- {checkpoint-6000 β checkpoint-8200}/optimizer.pt +1 -1
- {checkpoint-6000 β checkpoint-8200}/rng_state.pth +1 -1
- {checkpoint-6000 β checkpoint-8200}/scheduler.pt +1 -1
- {checkpoint-6000 β checkpoint-8200}/special_tokens_map.json +0 -0
- {checkpoint-6000 β checkpoint-8200}/tokenizer.model +0 -0
- {checkpoint-6000 β checkpoint-8200}/tokenizer_config.json +0 -0
- {checkpoint-6000 β checkpoint-8200}/trainer_state.json +2106 -5
- {checkpoint-6000 β checkpoint-8200}/training_args.bin +0 -0
adapter_model.bin
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checkpoint-6000/adapter_model/adapter_model/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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- PEFT 0.4.0
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checkpoint-6000/adapter_model/adapter_model/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "pankajmathur/orca_mini_v3_7b",
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16.0,
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"lora_dropout": 0.1,
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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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"revision": null,
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"target_modules": [
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"v_proj",
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"down_proj",
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"o_proj",
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"k_proj",
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"up_proj",
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"gate_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-6000/adapter_model/adapter_model/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-6200/adapter_model/adapter_model/README.md
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: False
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- load_in_4bit: True
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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- PEFT 0.4.0
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checkpoint-6200/adapter_model/adapter_model/adapter_model.bin
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{checkpoint-6000 β checkpoint-8200}/README.md
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{checkpoint-6000 β checkpoint-8200}/adapter_config.json
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{checkpoint-6000 β checkpoint-8200}/adapter_model.bin
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size 319977229
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{checkpoint-6000 β checkpoint-8200}/added_tokens.json
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{checkpoint-6000 β checkpoint-8200}/optimizer.pt
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size 1279539973
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{checkpoint-6000 β checkpoint-8200}/rng_state.pth
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{checkpoint-6000 β checkpoint-8200}/scheduler.pt
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size 627
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{checkpoint-6000 β checkpoint-8200}/special_tokens_map.json
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{checkpoint-6000 β checkpoint-8200}/tokenizer.model
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{checkpoint-6000 β checkpoint-8200}/tokenizer_config.json
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{checkpoint-6000 β checkpoint-8200}/trainer_state.json
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{
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"best_metric": 0.
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"best_model_checkpoint": "experts/expert-16/checkpoint-
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"epoch":
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"mmlu_eval_accuracy_world_religions": 0.631578947368421,
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"mmlu_loss": 1.4106916200087525,
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"step": 6000
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| 5739 |
}
|
| 5740 |
],
|
| 5741 |
"max_steps": 10000,
|
| 5742 |
"num_train_epochs": 4,
|
| 5743 |
-
"total_flos":
|
| 5744 |
"trial_name": null,
|
| 5745 |
"trial_params": null
|
| 5746 |
}
|
|
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|
| 1 |
{
|
| 2 |
+
"best_metric": 0.7293602228164673,
|
| 3 |
+
"best_model_checkpoint": "experts/expert-16/checkpoint-6200",
|
| 4 |
+
"epoch": 2.5982256020278833,
|
| 5 |
+
"global_step": 8200,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
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|
| 5736 |
"mmlu_eval_accuracy_world_religions": 0.631578947368421,
|
| 5737 |
"mmlu_loss": 1.4106916200087525,
|
| 5738 |
"step": 6000
|
| 5739 |
+
},
|
| 5740 |
+
{
|
| 5741 |
+
"epoch": 1.9,
|
| 5742 |
+
"learning_rate": 0.0002,
|
| 5743 |
+
"loss": 0.7115,
|
| 5744 |
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"step": 6010
|
| 5745 |
+
},
|
| 5746 |
+
{
|
| 5747 |
+
"epoch": 1.91,
|
| 5748 |
+
"learning_rate": 0.0002,
|
| 5749 |
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"loss": 0.6862,
|
| 5750 |
+
"step": 6020
|
| 5751 |
+
},
|
| 5752 |
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{
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| 5753 |
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|
| 5754 |
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|
| 5755 |
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"loss": 0.6705,
|
| 5756 |
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"step": 6030
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| 5757 |
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| 5758 |
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{
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| 5759 |
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|
| 5760 |
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"learning_rate": 0.0002,
|
| 5761 |
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"loss": 0.6848,
|
| 5762 |
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"step": 6040
|
| 5763 |
+
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{checkpoint-6000 β checkpoint-8200}/training_args.bin
RENAMED
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