Model save

README.md

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+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-3B
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: subject2-test1
+  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. -->
+
+# subject2-test1
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.0319
+
+## 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: 1e-05
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3241        | 1.0   | 377  | 0.5891          |
+| 0.0017        | 2.0   | 754  | 1.2835          |
+| 0.0009        | 3.0   | 1131 | 1.0319          |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 33123426287616.0,
+    "train_loss": 0.5493979175771367,
+    "train_runtime": 4957.8152,
+    "train_samples": 6030,
+    "train_samples_per_second": 3.649,
+    "train_steps_per_second": 0.228
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.45.0.dev0"
+}

runs/Dec31_10-16-39_ellis-compute-02.cs.cornell.edu/events.out.tfevents.1735658337.ellis-compute-02.cs.cornell.edu.2168016.0

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+size 245109

train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 33123426287616.0,
+    "train_loss": 0.5493979175771367,
+    "train_runtime": 4957.8152,
+    "train_samples": 6030,
+    "train_samples_per_second": 3.649,
+    "train_steps_per_second": 0.228
+}