Model save

README.md

@@ -0,0 +1,79 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual_babylm_aanns_dtanns-seed_1024-1e-4
+  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. -->
+
+# smolm-autoreg-bpe-counterfactual_babylm_aanns_dtanns-seed_1024-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4264
+- Accuracy: 0.4056
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 1024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 32000
+- num_epochs: 20.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0514        | 1.0   | 18595  | 4.2435          | 0.3101   |
+| 3.5672        | 2.0   | 37190  | 3.7652          | 0.3622   |
+| 3.3933        | 3.0   | 55785  | 3.5859          | 0.3792   |
+| 3.2939        | 4.0   | 74380  | 3.5397          | 0.3863   |
+| 3.2248        | 5.0   | 92975  | 3.4728          | 0.3919   |
+| 3.173         | 6.0   | 111570 | 3.4672          | 0.3950   |
+| 3.1332        | 7.0   | 130165 | 3.4249          | 0.3987   |
+| 3.0958        | 8.0   | 148760 | 3.4232          | 0.3998   |
+| 3.0709        | 9.0   | 167355 | 3.4138          | 0.4012   |
+| 3.0426        | 10.0  | 185950 | 3.4269          | 0.4014   |
+| 3.0138        | 11.0  | 204545 | 3.4023          | 0.4037   |
+| 2.995         | 12.0  | 223140 | 3.4037          | 0.4035   |
+| 2.9702        | 13.0  | 241735 | 3.3991          | 0.4043   |
+| 2.954         | 14.0  | 260330 | 3.4180          | 0.4042   |
+| 2.9299        | 15.0  | 278925 | 3.4060          | 0.4049   |
+| 2.9106        | 16.0  | 297520 | 3.4084          | 0.4049   |
+| 2.8923        | 17.0  | 316115 | 3.4154          | 0.4055   |
+| 2.8795        | 18.0  | 334710 | 3.4195          | 0.4057   |
+| 2.8628        | 19.0  | 353305 | 3.4225          | 0.4057   |
+| 2.8497        | 20.0  | 371900 | 3.4264          | 0.4056   |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d4c8d961cf3cbc28afba95f50c5e6854c4d230fac89e4f9fb16a09c5098349c
+oid sha256:835927dea6afc4afdd309aa18a56a5d7709fd4116768cbac20eb1482ffba4ce9
 size 391376736

runs/Jul07_16-13-29_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1720387170.phyl-ling-p01.la.utexas.edu.2048002.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c21d085f46af59bd75f2fd7969bffd128be77d620667c940237462a6f65ea3f6
-size 90717
+oid sha256:270a1c9d37146f3954f1f2501907bd67bcafefb349ba2bd2c2cf6469bc1ca9bf
+size 91621