Model save

README.md

@@ -1,3 +1,57 @@
----
-license: mit
----
+---
+library_name: transformers
+base_model: JW17/SmolLM-14m-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: tied-proposed-checkpoint-25000
+  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. -->
+
+# tied-proposed-checkpoint-25000
+
+This model is a fine-tuned version of [JW17/SmolLM-14m-v0.1](https://huggingface.co/JW17/SmolLM-14m-v0.1) 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: 0.003
+- train_batch_size: 1024
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 2048
+- total_eval_batch_size: 16
+- 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: warmup_stable_decay
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.4.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.0,
+    "total_flos": 9.910910713856e+17,
+    "train_loss": 4.172763576631546,
+    "train_runtime": 31305.579,
+    "train_samples": 51200000,
+    "train_samples_per_second": 1635.491,
+    "train_steps_per_second": 0.799
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.0,
+    "total_flos": 9.910910713856e+17,
+    "train_loss": 4.172763576631546,
+    "train_runtime": 31305.579,
+    "train_samples": 51200000,
+    "train_samples_per_second": 1635.491,
+    "train_steps_per_second": 0.799
+}