Model save

README.md

@@ -0,0 +1,79 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-pipps_removal-seed_1024-1e-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-pipps_removal-seed_1024-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4120
+- Accuracy: 0.4103
+
+## 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: 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.5992        | 1.0   | 18593  | 3.7873          | 0.3590   |
+| 3.3841        | 2.0   | 37186  | 3.5957          | 0.3798   |
+| 3.2517        | 3.0   | 55779  | 3.4368          | 0.3935   |
+| 3.1729        | 4.0   | 74372  | 3.4158          | 0.3977   |
+| 3.1228        | 5.0   | 92965  | 3.4132          | 0.4017   |
+| 3.074         | 6.0   | 111558 | 3.3903          | 0.4035   |
+| 3.0396        | 7.0   | 130151 | 3.3731          | 0.4067   |
+| 3.0136        | 8.0   | 148744 | 3.3697          | 0.4065   |
+| 2.9841        | 9.0   | 167337 | 3.3754          | 0.4067   |
+| 2.9561        | 10.0  | 185930 | 3.3766          | 0.4088   |
+| 2.9356        | 11.0  | 204523 | 3.3834          | 0.4089   |
+| 2.9099        | 12.0  | 223116 | 3.3625          | 0.4105   |
+| 2.8924        | 13.0  | 241709 | 3.3680          | 0.4097   |
+| 2.8738        | 14.0  | 260302 | 3.3766          | 0.4103   |
+| 2.8485        | 15.0  | 278895 | 3.3746          | 0.4108   |
+| 2.834         | 16.0  | 297488 | 3.3823          | 0.4107   |
+| 2.8108        | 17.0  | 316081 | 3.3894          | 0.4108   |
+| 2.7936        | 18.0  | 334674 | 3.4001          | 0.4101   |
+| 2.7783        | 19.0  | 353267 | 3.4030          | 0.4107   |
+| 2.755         | 20.0  | 371860 | 3.4120          | 0.4103   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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": "4.37.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:05656776d82cfbec4efda2bff8c9a889d24934f8dc181d5e4139dd4e9733bafa
+oid sha256:8cd3f84badc2851cff8e52b5722755ce8bd4fae816a001c31fda4e4c4616a3e3
 size 391376736

runs/Feb02_14-45-21_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1706907082.phyl-ling-p01.la.utexas.edu.3019308.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fa29d3d89710c94bf50cba26ccc479747d7f6de0d09ef6654cb7e5421bdb420f
-size 70176
+oid sha256:7e010299f0a55cf10e266ce0191bbabc70fac271a9a7dfb8b2d2757bf45aae5a
+size 71025