Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: mistral-poe-10p-detach
+  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. -->
+
+# mistral-poe-10p-detach
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: 4
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7345        | 1.0   | 3898 | nan             |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.14.6
+- Tokenizers 0.15.2

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all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.7175084921933248,
+    "train_runtime": 21380.3358,
+    "train_samples": 62359,
+    "train_samples_per_second": 2.917,
+    "train_steps_per_second": 0.182
+}

runs/May14_08-28-09_COE-CS-sv003/events.out.tfevents.1715675656.COE-CS-sv003.1177260.0

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train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.7175084921933248,
+    "train_runtime": 21380.3358,
+    "train_samples": 62359,
+    "train_samples_per_second": 2.917,
+    "train_steps_per_second": 0.182
+}