Model save

README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+library_name: peft
+license: llama2
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: llama-2-qlora-ultrachat-200k-processed-indicator-0.6
+  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. -->
+
+# llama-2-qlora-ultrachat-200k-processed-indicator-0.6
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8975
+
+## 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: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.8864        | 0.9997 | 3247 | 0.8975          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.40.1
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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all_results.json

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+    "epoch": 0.9997305930800908,
+    "total_flos": 5.273312589722419e+16,
+    "train_loss": 0.9348164240617108,
+    "train_runtime": 152106.1857,
+    "train_samples": 207864,
+    "train_samples_per_second": 1.367,
+    "train_steps_per_second": 0.021
+}

runs/Aug06_10-52-53_nova.cs.ucla.edu/events.out.tfevents.1722967913.nova.cs.ucla.edu.3063649.0

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train_results.json

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+{
+    "epoch": 0.9997305930800908,
+    "total_flos": 5.273312589722419e+16,
+    "train_loss": 0.9348164240617108,
+    "train_runtime": 152106.1857,
+    "train_samples": 207864,
+    "train_samples_per_second": 1.367,
+    "train_steps_per_second": 0.021
+}