Training completed

README.md

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+---
+library_name: peft
+license: llama3.2
+base_model: meta-llama/Llama-3.2-3B
+tags:
+- base_model:adapter:meta-llama/Llama-3.2-3B
+- lora
+- transformers
+pipeline_tag: text-generation
+model-index:
+- name: testing-without-deepspeed
+  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. -->
+
+# testing-without-deepspeed
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on an unknown dataset.
+
+## 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-05
+- train_batch_size: 16
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 160
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 10
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.16.0
+- Transformers 4.53.1
+- Pytorch 2.7.1+cu126
+- Datasets 2.15.0
+- Tokenizers 0.21.2

all_results.json

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+{
+    "epoch": 0.0182648401826484,
+    "total_flos": 5.5657843654656e+16,
+    "train_loss": 1.3610095977783203,
+    "train_runtime": 143.4567,
+    "train_samples_per_second": 11.153,
+    "train_steps_per_second": 0.07
+}

train_results.json

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+{
+    "epoch": 0.0182648401826484,
+    "total_flos": 5.5657843654656e+16,
+    "train_loss": 1.3610095977783203,
+    "train_runtime": 143.4567,
+    "train_samples_per_second": 11.153,
+    "train_steps_per_second": 0.07
+}

trainer_state.json

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+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.0182648401826484,
+  "eval_steps": 0,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0182648401826484,
+      "step": 10,
+      "total_flos": 5.5657843654656e+16,
+      "train_loss": 1.3610095977783203,
+      "train_runtime": 143.4567,
+      "train_samples_per_second": 11.153,
+      "train_steps_per_second": 0.07
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 10,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.5657843654656e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}