added all checkpoint-224 files

README.md

@@ -1,9 +1,47 @@
 ---
-tags:
-- autotrain
-- text-generation
-widget:
-- text: "I love AutoTrain because "
+library_name: peft
 ---
+## Training procedure
 
-# Model Trained Using AutoTrain
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+### Framework versions
+
+- PEFT 0.6.0.dev0
+- PEFT 0.6.0.dev0
+
+- PEFT 0.6.0.dev0

adapter_model.bin

@@ -1,3 +1,3 @@
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-size 33600461
+oid sha256:52a88a362ba10cc7d3b298e821cc743fe665ccca08ff957fbeccc25227f0940d
+size 133

optimizer.pt

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pytorch_model.bin

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+size 128

rng_state_0.pth

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+size 130

rng_state_1.pth

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scheduler.pt

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+size 128

tokenizer.model

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+size 131

trainer_state.json

@@ -0,0 +1,25 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.991111111111111,
+  "eval_steps": 500,
+  "global_step": 224,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.59,
+      "learning_rate": 4.477611940298508e-05,
+      "loss": 0.4999,
+      "step": 179
+    }
+  ],
+  "logging_steps": 179,
+  "max_steps": 224,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "total_flos": 1.4875603767813734e+17,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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+size 129