Model save

README.md

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+---
+license: apache-2.0
+base_model: pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: griffin-1024-llama3t-8layer-simplewiki-silu-fineweb-1M_en-med-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. -->
+
+# griffin-1024-llama3t-8layer-simplewiki-silu-fineweb-1M_en-med-vN
+
+This model is a fine-tuned version of [pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu](https://huggingface.co/pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.6745
+- Accuracy: 0.1884
+- Num Input Tokens Seen: 734003200
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 80085
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
+- lr_scheduler_type: inverse_sqrt
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Input Tokens Seen |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
+| 6.4019        | 0.0684 | 400  | 6.7690          | 0.1278   | 52428800          |
+| 6.0547        | 0.1368 | 800  | 6.4214          | 0.1460   | 104857600         |
+| 5.8133        | 0.2052 | 1200 | 6.2566          | 0.1550   | 157286400         |
+| 5.7212        | 0.2736 | 1600 | 6.1411          | 0.1620   | 209715200         |
+| 5.6175        | 0.3420 | 2000 | 6.0502          | 0.1669   | 262144000         |
+| 5.5014        | 0.4104 | 2400 | 5.9827          | 0.1687   | 314572800         |
+| 5.4882        | 0.4788 | 2800 | 5.9203          | 0.1731   | 367001600         |
+| 5.3972        | 0.5472 | 3200 | 5.8614          | 0.1782   | 419430400         |
+| 5.3983        | 0.6156 | 3600 | 5.8340          | 0.1773   | 471859200         |
+| 5.3175        | 0.6840 | 4000 | 5.7916          | 0.1814   | 524288000         |
+| 5.3014        | 0.7524 | 4400 | 5.7565          | 0.1814   | 576716800         |
+| 5.2749        | 0.8208 | 4800 | 5.7303          | 0.1849   | 629145600         |
+| 5.2264        | 0.8892 | 5200 | 5.6993          | 0.1850   | 681574400         |
+| 5.2107        | 0.9576 | 5600 | 5.6745          | 0.1884   | 734003200         |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "transformers_version": "4.40.1"
+}

model.safetensors

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+oid sha256:648cf1fafb54217d59b25d6133a5144135541386694787902bf48790dfdeb27b
 size 934876808