Pragades/LlaMa-3.2 instruct(Interview)

README.md

@@ -17,8 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # llama3.1-mini-QLoRA
 
 This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6375
 
 ## Model description
 
@@ -43,27 +41,19 @@ The following hyperparameters were used during training:
 - seed: 42
 - gradient_accumulation_steps: 4
 - total_train_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 1.9432        | 1.5810 | 100  | 1.1024          |
-| 1.049         | 3.1621 | 200  | 0.9510          |
-| 0.9297        | 4.7431 | 300  | 0.8364          |
-| 0.8233        | 6.3241 | 400  | 0.7393          |
-| 0.7348        | 7.9051 | 500  | 0.6737          |
-| 0.6697        | 9.4862 | 600  | 0.6375          |
 
 
 ### Framework versions
 
-- PEFT 0.13.0
-- Transformers 4.45.1
-- Pytorch 2.4.1+cu121
-- Datasets 3.0.1
-- Tokenizers 0.20.0
+- PEFT 0.13.2
+- Transformers 4.46.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- Tokenizers 0.20.1

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
-    "v_proj",
+    "q_proj",
     "gate_proj",
     "o_proj",
     "down_proj",
+    "up_proj",
     "k_proj",
-    "q_proj"
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 2146498720

special_tokens_map.json

@@ -7,7 +7,7 @@
     "single_word": false
   },
   "eos_token": {
-    "content": "<EOS>",
+    "content": "<|endoftext|>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,

tokenizer.json

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tokenizer_config.json

@@ -2057,7 +2057,7 @@
       "special": true
     },
     "128257": {
-      "content": "<EOS>",
+      "content": "<|endoftext|>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -2067,7 +2067,7 @@
   },
   "bos_token": "<|begin_of_text|>",
   "clean_up_tokenization_spaces": true,
-  "eos_token": "<EOS>",
+  "eos_token": "<|endoftext|>",
   "model_input_names": [
     "input_ids",
     "attention_mask"

training_args.bin

@@ -1,3 +1,3 @@
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