vasimakram01
commited on
Commit
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Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-2345/README.md +34 -0
- checkpoint-2345/adapter_config.json +21 -0
- checkpoint-2345/adapter_model.bin +3 -0
- checkpoint-2345/optimizer.pt +3 -0
- checkpoint-2345/rng_state.pth +3 -0
- checkpoint-2345/scheduler.pt +3 -0
- checkpoint-2345/special_tokens_map.json +24 -0
- checkpoint-2345/tokenizer.json +0 -0
- checkpoint-2345/tokenizer.model +3 -0
- checkpoint-2345/tokenizer_config.json +40 -0
- checkpoint-2345/trainer_state.json +43 -0
- checkpoint-2345/training_args.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
- training_args.bin +3 -0
- training_params.json +1 -0
README.md
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---
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tags:
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- autotrain
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- text-generation
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widget:
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- text: "I love AutoTrain because "
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---
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# Model Trained Using AutoTrain
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "bn22/Mistral-7B-Instruct-v0.1-sharded",
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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": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e6735db4750896cd689109334cd60726c85999054b27e13d4b5c43b1e0072ef
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size 27309386
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checkpoint-2345/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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- quant_method: bitsandbytes
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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: False
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- bnb_4bit_compute_dtype: float16
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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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: False
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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checkpoint-2345/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "bn22/Mistral-7B-Instruct-v0.1-sharded",
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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": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-2345/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e6735db4750896cd689109334cd60726c85999054b27e13d4b5c43b1e0072ef
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size 27309386
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checkpoint-2345/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 54633978
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checkpoint-2345/rng_state.pth
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checkpoint-2345/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-2345/special_tokens_map.json
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{
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"bos_token": {
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}
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checkpoint-2345/tokenizer.json
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checkpoint-2345/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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checkpoint-2345/tokenizer_config.json
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{
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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checkpoint-2345/trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.05,
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"learning_rate": 0.00010967032967032969,
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"loss": 1.2182,
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"step": 500
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},
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{
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"epoch": 0.11,
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"learning_rate": 0.00019782661782661784,
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"loss": 0.147,
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"step": 1000
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},
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{
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"epoch": 0.16,
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"learning_rate": 0.00018561660561660563,
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"loss": 0.384,
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"step": 1500
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},
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{
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"learning_rate": 0.00017340659340659342,
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"step": 2000
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}
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],
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"logging_steps": 500,
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"max_steps": 9100,
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"num_train_epochs": 1,
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"save_steps": 500,
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"trial_name": null,
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"trial_params": null
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}
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checkpoint-2345/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3e0a675c7e0b098040134a6c0a65ed65e2251f0a1d3087911595100fe2146cf
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size 4536
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special_tokens_map.json
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{
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
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{
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},
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},
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"special": true
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}
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},
|
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"additional_special_tokens": [],
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"clean_up_tokenization_spaces": false,
|
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"eos_token": "</s>",
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"legacy": true,
|
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"model_max_length": 2048,
|
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"pad_token": "</s>",
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"sp_model_kwargs": {},
|
36 |
+
"spaces_between_special_tokens": false,
|
37 |
+
"tokenizer_class": "LlamaTokenizer",
|
38 |
+
"unk_token": "<unk>",
|
39 |
+
"use_default_system_prompt": true
|
40 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c3e0a675c7e0b098040134a6c0a65ed65e2251f0a1d3087911595100fe2146cf
|
3 |
+
size 4536
|
training_params.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"model": "bn22/Mistral-7B-Instruct-v0.1-sharded", "data_path": ".", "project_name": "dawah_Mistral_7b_finetuned", "train_split": "train", "valid_split": null, "text_column": "text", "rejected_text_column": "rejected", "lr": 0.0002, "epochs": 1, "batch_size": 5, "warmup_ratio": 0.1, "gradient_accumulation": 1, "optimizer": "adamw_torch", "scheduler": "linear", "weight_decay": 0.0, "max_grad_norm": 1.0, "seed": 42, "add_eos_token": false, "block_size": -1, "use_peft": true, "lora_r": 16, "lora_alpha": 32, "lora_dropout": 0.05, "logging_steps": 500, "evaluation_strategy": "epoch", "save_total_limit": 5000, "save_strategy": "epoch", "auto_find_batch_size": false, "fp16": false, "push_to_hub": true, "use_int8": false, "model_max_length": 2048, "repo_id": "vasimakram01/dawah_Mistral_7b_finetuned", "use_int4": true, "trainer": "sft", "target_modules": "q_proj,v_proj", "merge_adapter": false, "username": null, "use_flash_attention_2": false, "log": "none", "disable_gradient_checkpointing": false, "model_ref": null, "dpo_beta": 0.1, "prompt_text_column": "prompt"}
|