Model save

README.md

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+---
+license: apache-2.0
+base_model: BEE-spoke-data/smol_llama-220M-GQA
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smol_llama-220M-GQA-bees-internal-2048-vN
+  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. -->
+
+# smol_llama-220M-GQA-bees-internal-2048-vN
+
+This model is a fine-tuned version of [BEE-spoke-data/smol_llama-220M-GQA](https://huggingface.co/BEE-spoke-data/smol_llama-220M-GQA) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6892
+- Accuracy: 0.4610
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 27634
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.0959        | 0.1   | 50   | 2.9671          | 0.4245   |
+| 2.9975        | 0.19  | 100  | 2.8691          | 0.4371   |
+| 2.8938        | 0.29  | 150  | 2.8271          | 0.4419   |
+| 2.9027        | 0.39  | 200  | 2.7973          | 0.4457   |
+| 2.8983        | 0.49  | 250  | 2.7719          | 0.4489   |
+| 2.8789        | 0.58  | 300  | 2.7519          | 0.4515   |
+| 2.8672        | 0.68  | 350  | 2.7366          | 0.4535   |
+| 2.8369        | 0.78  | 400  | 2.7230          | 0.4558   |
+| 2.8271        | 0.88  | 450  | 2.7118          | 0.4569   |
+| 2.7775        | 0.97  | 500  | 2.7034          | 0.4587   |
+| 2.671         | 1.07  | 550  | 2.6996          | 0.4592   |
+| 2.695         | 1.17  | 600  | 2.6965          | 0.4598   |
+| 2.6962        | 1.27  | 650  | 2.6934          | 0.4601   |
+| 2.6034        | 1.36  | 700  | 2.6916          | 0.4605   |
+| 2.716         | 1.46  | 750  | 2.6901          | 0.4609   |
+| 2.6968        | 1.56  | 800  | 2.6896          | 0.4608   |
+| 2.6626        | 1.66  | 850  | 2.6893          | 0.4609   |
+| 2.6881        | 1.75  | 900  | 2.6891          | 0.4610   |
+| 2.7339        | 1.85  | 950  | 2.6891          | 0.4610   |
+| 2.6729        | 1.95  | 1000 | 2.6892          | 0.4610   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.2",
+  "use_cache": false
+}

model.safetensors

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+oid sha256:3c1c88ae6f826a159fbd4a52b6cf5795c1cc8f3df15053e61aede76d5f5f53e9
 size 435736840