Model save

README.md

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+---
+base_model: Phi-3-mini-4k-instruct
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Phi-3-mini-4k-instruct-8bit-LMSYS-finetuned-v02
+  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. -->
+
+# Phi-3-mini-4k-instruct-8bit-LMSYS-finetuned-v02
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4983
+
+## 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: 5e-07
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.43.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.4983310401439667,
+    "eval_runtime": 137.9001,
+    "eval_samples": 558,
+    "eval_samples_per_second": 4.046,
+    "eval_steps_per_second": 4.046,
+    "total_flos": 4.409726465817354e+17,
+    "train_loss": 0.606607598028302,
+    "train_runtime": 18158.8522,
+    "train_samples_per_second": 0.993,
+    "train_steps_per_second": 0.993
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.4983310401439667,
+    "eval_runtime": 137.9001,
+    "eval_samples": 558,
+    "eval_samples_per_second": 4.046,
+    "eval_steps_per_second": 4.046
+}

tokenizer_config.json

@@ -123,7 +123,7 @@
   "legacy": false,
   "model_max_length": 4096,
   "pad_token": "<unk>",
-  "padding_side": "right",
+  "padding_side": "left",
   "sp_model_kwargs": {},
   "tokenizer_class": "LlamaTokenizer",
   "unk_token": "<unk>",

train_results.json

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+{
+    "epoch": 1.0,
+    "total_flos": 4.409726465817354e+17,
+    "train_loss": 0.606607598028302,
+    "train_runtime": 18158.8522,
+    "train_samples_per_second": 0.993,
+    "train_steps_per_second": 0.993
+}