Hawoly18/llama3.1-8B-Wolof

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,11 +1,10 @@
 ---
-base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
-library_name: peft
-license: llama3.1
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-3B
 tags:
 - trl
 - sft
-- unsloth
 - generated_from_trainer
 model-index:
 - name: outputs
@@ -17,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # outputs
 
-This model is a fine-tuned version of [unsloth/meta-llama-3.1-8b-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-bnb-4bit) on the None dataset.
+This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6534
 
 ## Model description
 
@@ -37,25 +38,29 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 2
+- train_batch_size: 1
 - eval_batch_size: 8
 - seed: 3407
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 8
+- total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 5
-- training_steps: 60
-- mixed_precision_training: Native AMP
+- training_steps: 100
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.4702        | 0.0556 | 25   | 2.5017          |
+| 2.1788        | 0.1111 | 50   | 2.0390          |
+| 1.8193        | 0.1667 | 75   | 1.8122          |
+| 1.5859        | 0.2222 | 100  | 1.6534          |
 
 
 ### Framework versions
 
-- PEFT 0.13.3.dev0
-- Transformers 4.44.2
-- Pytorch 2.4.1+cu121
+- Transformers 4.45.2
+- Pytorch 2.1.0+cu118
 - Datasets 3.0.1
-- Tokenizers 0.19.1
+- Tokenizers 0.20.1

config.json

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+{
+  "_name_or_path": "meta-llama/Llama-3.2-3B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+{
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+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.45.2"
+}

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special_tokens_map.json

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 }

tokenizer_config.json

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-  "pad_token": "<|finetune_right_pad_id|>",
-  "padding_side": "right",
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   "tokenizer_class": "PreTrainedTokenizerFast"
 }

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