Model save

README.md

@@ -0,0 +1,67 @@
+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: 1b_distill_width_prune
+  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. -->
+
+# 1b_distill_width_prune
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5713
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.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: 0.01
+- training_steps: 20000
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 1.3657        | 0.0413 | 10000 | 1.7362          |
+| 1.2947        | 0.0827 | 20000 | 1.5713          |
+
+
+### Framework versions
+
+- Transformers 4.47.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.20.3

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.08267797093601252,
+    "total_flos": 0.0,
+    "train_loss": 6.551032936291113e-05,
+    "train_runtime": 86.8457,
+    "train_samples": 15482525,
+    "train_samples_per_second": 14738.777,
+    "train_steps_per_second": 230.293
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.08267797093601252,
+    "total_flos": 0.0,
+    "train_loss": 6.551032936291113e-05,
+    "train_runtime": 86.8457,
+    "train_samples": 15482525,
+    "train_samples_per_second": 14738.777,
+    "train_steps_per_second": 230.293
+}