Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-only_other_det_removal-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-only_other_det_removal-1e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4247
+- Accuracy: 0.4065
+
+## 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: 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 4.0532        | 1.0   | 18597  | 4.2579          | 0.3085   |
+| 3.566         | 2.0   | 37194  | 3.7605          | 0.3620   |
+| 3.3886        | 3.0   | 55791  | 3.5962          | 0.3806   |
+| 3.2899        | 4.0   | 74388  | 3.5175          | 0.3894   |
+| 3.2214        | 5.0   | 92985  | 3.4618          | 0.3939   |
+| 3.1702        | 6.0   | 111582 | 3.4252          | 0.3979   |
+| 3.1294        | 7.0   | 130179 | 3.4255          | 0.3995   |
+| 3.0899        | 8.0   | 148776 | 3.4190          | 0.4010   |
+| 3.0639        | 9.0   | 167373 | 3.4041          | 0.4027   |
+| 3.0329        | 10.0  | 185970 | 3.4231          | 0.4029   |
+| 3.0093        | 11.0  | 204567 | 3.4100          | 0.4045   |
+| 2.9859        | 12.0  | 223164 | 3.4097          | 0.4049   |
+| 2.9662        | 13.0  | 241761 | 3.4043          | 0.4053   |
+| 2.9424        | 14.0  | 260358 | 3.4046          | 0.4057   |
+| 2.928         | 15.0  | 278955 | 3.4079          | 0.4059   |
+| 2.908         | 16.0  | 297552 | 3.4119          | 0.4061   |
+| 2.8912        | 17.0  | 316149 | 3.4119          | 0.4062   |
+| 2.8716        | 18.0  | 334746 | 3.4159          | 0.4064   |
+| 2.8589        | 19.0  | 353343 | 3.4223          | 0.4065   |
+| 2.8424        | 20.0  | 371940 | 3.4247          | 0.4065   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

model.safetensors

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runs/Feb06_09-44-59_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1707234669.phyl-ling-p01.la.utexas.edu.3217545.0

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