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12_21_2023_progress/README.md

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+---
+license: apache-2.0
+base_model: falche/opennovel_oc2_01a_7b
+tags:
+- generated_from_trainer
+model-index:
+- name: out
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+# out
+
+This model is a fine-tuned version of [falche/opennovel_oc2_01a_7b](https://huggingface.co/falche/opennovel_oc2_01a_7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3955
+
+## 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: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 6
+- total_eval_batch_size: 3
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.1649        | 0.0   | 1     | 3.3906          |
+| 3.6247        | 0.05  | 528   | 3.7267          |
+| 3.5584        | 0.1   | 1056  | 3.7235          |
+| 3.4741        | 0.15  | 1584  | 3.7208          |
+| 3.4915        | 0.2   | 2112  | 3.6959          |
+| 3.4849        | 0.25  | 2640  | 3.6844          |
+| 3.4466        | 0.3   | 3168  | 3.6704          |
+| 3.2705        | 0.35  | 3696  | 3.6390          |
+| 3.2936        | 0.4   | 4224  | 3.6249          |
+| 3.4238        | 0.45  | 4752  | 3.6018          |
+| 3.3485        | 0.5   | 5280  | 3.5783          |
+| 3.2596        | 0.55  | 5808  | 3.5661          |
+| 3.2277        | 0.6   | 6336  | 3.5371          |
+| 3.2635        | 0.65  | 6864  | 3.5157          |
+| 3.1735        | 0.7   | 7392  | 3.4962          |
+| 3.1552        | 0.75  | 7920  | 3.4712          |
+| 3.0954        | 0.8   | 8448  | 3.4501          |
+| 3.09          | 0.85  | 8976  | 3.4298          |
+| 3.1094        | 0.9   | 9504  | 3.4096          |
+| 2.9722        | 0.95  | 10032 | 3.3955          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

12_21_2023_progress/config.json

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+{
+  "_name_or_path": "falche/opennovel_oc2_01a_7b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 1,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 500000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.1",
+  "use_cache": false,
+  "vocab_size": 65024
+}

12_21_2023_progress/generation_config.json

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+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "pad_token_id": 1,
+  "transformers_version": "4.34.1"
+}

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12_21_2023_progress/special_tokens_map.json

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12_21_2023_progress/tokenizer_config.json

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12_21_2023_progress/training_args.bin

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