Model save

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: zephyr-7b-sft-qlora
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# zephyr-7b-sft-qlora
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9536
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9757        | 1.0   | 8714 | 0.9536          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.0

adapter_config.json

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   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
-    "o_proj",
-    "v_proj",
-    "down_proj",
     "up_proj",
+    "q_proj",
     "gate_proj",
-    "q_proj"
+    "down_proj",
+    "k_proj",
+    "o_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

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all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.9536473751068115,
+    "eval_runtime": 3629.5702,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 4.251,
+    "eval_steps_per_second": 0.531,
+    "train_loss": 0.0015288638991994379,
+    "train_runtime": 3795.7084,
+    "train_samples": 207865,
+    "train_samples_per_second": 36.733,
+    "train_steps_per_second": 2.296
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.9536473751068115,
+    "eval_runtime": 3629.5702,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 4.251,
+    "eval_steps_per_second": 0.531
+}

runs/Feb24_11-15-04_next-asus-01/events.out.tfevents.1708744633.next-asus-01.137864.0

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runs/Feb25_18-13-27_next-asus-01/events.out.tfevents.1708863558.next-asus-01.205473.1

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train_results.json

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+    "epoch": 1.0,
+    "train_loss": 0.0015288638991994379,
+    "train_runtime": 3795.7084,
+    "train_samples": 207865,
+    "train_samples_per_second": 36.733,
+    "train_steps_per_second": 2.296
+}

training_args.bin

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