Model save

README.md

@@ -0,0 +1,79 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-new_regex_aanns_removal-seed_42-1e-3
+  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-new_regex_aanns_removal-seed_42-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3818
+- Accuracy: 0.4120
+
+## 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: 32
+- eval_batch_size: 64
+- seed: 42
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6013        | 1.0   | 18593  | 3.7859          | 0.3595   |
+| 3.3808        | 2.0   | 37186  | 3.5963          | 0.3806   |
+| 3.2581        | 3.0   | 55779  | 3.4526          | 0.3931   |
+| 3.174         | 4.0   | 74372  | 3.4158          | 0.3984   |
+| 3.1218        | 5.0   | 92965  | 3.4018          | 0.4022   |
+| 3.0764        | 6.0   | 111558 | 3.3647          | 0.4060   |
+| 3.0403        | 7.0   | 130151 | 3.3497          | 0.4073   |
+| 3.0123        | 8.0   | 148744 | 3.3577          | 0.4084   |
+| 2.9806        | 9.0   | 167337 | 3.3481          | 0.4096   |
+| 2.9559        | 10.0  | 185930 | 3.3229          | 0.4107   |
+| 2.9341        | 11.0  | 204523 | 3.3348          | 0.4109   |
+| 2.9141        | 12.0  | 223116 | 3.3268          | 0.4113   |
+| 2.8904        | 13.0  | 241709 | 3.3276          | 0.4122   |
+| 2.8682        | 14.0  | 260302 | 3.3432          | 0.4128   |
+| 2.8518        | 15.0  | 278895 | 3.3533          | 0.4120   |
+| 2.8294        | 16.0  | 297488 | 3.3578          | 0.4120   |
+| 2.8079        | 17.0  | 316081 | 3.3555          | 0.4124   |
+| 2.7936        | 18.0  | 334674 | 3.3698          | 0.4121   |
+| 2.7716        | 19.0  | 353267 | 3.3713          | 0.4124   |
+| 2.7573        | 20.0  | 371860 | 3.3818          | 0.4120   |
+
+
+### 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 sha256:50f74ef7829fef2c0f0a3819ab36babaae340df979b3d88926c0ebc7144ce0b1
+oid sha256:a8dee1611fa894c42c02768e7bf86a0f1a41905d867cc46c6793dfdea074f787
 size 391376736

runs/Jun18_21-18-12_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1718763882.phyl-ling-p01.la.utexas.edu.761378.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3fb90734d1d7bb142bf1367b2c04ac17bcb580fd21d413ee99b037a08f44ae05
-size 90759
+oid sha256:a6c6ddf1435ba81042fb63447d13cdcf9ff3d4f0eee3a86510302e61ad32ea4b
+size 91663