End of training

README.md

@@ -12,12 +12,37 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ProGemma2
 
-Identical to JuIm/ProGemma, save for 2 details: 
+This model is a fine-tuned version of [JuIm/ProGemma2](https://huggingface.co/JuIm/ProGemma2) 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: 0.001
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.4
+- training_steps: 3500
+
+### Training results
 
-1. The model is slightly larger at 336M parameters vs 225M
-2. The training rate is 1e-3
 
-Current training loss is 2.04, with only 20% of the training data being used thus far (1st epoch), which is a marked improvement versus the original ProGemma's training loss at this point in the dataset.
 
 ### Framework versions
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:524819aa1c4139d2aef89e1a15459a7fd5a19fba72abd7151aed2ef75ea93b49
+oid sha256:468303eca8c6b8cc95b5b506de75a9934a4971f83002cbb3ef238aad519560d3
 size 1342562152

runs/Aug30_19-15-33_6ed2723a8973/events.out.tfevents.1725045337.6ed2723a8973.330.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:637a8d0cb88097ef2f28663485c23f7237998ae60f22f88c0ee998414d917edc
+size 743330

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f82693a5bddefae6d93466903dd3b93b7a2eae558a42057b5c4581f02fb4525a
+oid sha256:8a9392bea1909c65e815de7e13807a98aef0e6419fc77ed4d9cf80f5952c4f30
 size 5112