Training in progress, epoch 2

README.md

@@ -4,8 +4,8 @@ library_name: transformers
 model_name: gemma3_google
 tags:
 - generated_from_trainer
-- sft
 - trl
+- sft
 licence: license
 ---
 
@@ -20,7 +20,7 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
 from transformers import pipeline
 
 question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="rubengerad/gemma3_google", device="cuda")
+generator = pipeline("text-generation", model="rubenz-org/gemma3_google", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```

config.json

@@ -49,6 +49,6 @@
   "torch_dtype": "bfloat16",
   "transformers_version": "4.55.4",
   "use_bidirectional_attention": false,
-  "use_cache": true,
+  "use_cache": false,
   "vocab_size": 262144
 }

model.safetensors

@@ -1,3 +1,3 @@
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runs/Oct17_03-02-21_llmsvr/events.out.tfevents.1760650345.llmsvr.220029.0

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special_tokens_map.json

@@ -8,13 +8,7 @@
     "single_word": false
   },
   "eoi_token": "<end_of_image>",
-  "eos_token": {
-    "content": "<eos>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
+  "eos_token": "<unk>",
   "image_token": "<image_soft_token>",
   "pad_token": {
     "content": "<pad>",

tokenizer_config.json

@@ -51327,7 +51327,7 @@
   "bos_token": "<bos>",
   "clean_up_tokenization_spaces": false,
   "eoi_token": "<end_of_image>",
-  "eos_token": "<eos>",
+  "eos_token": "<unk>",
   "extra_special_tokens": {
     "boi_token": "<start_of_image>",
     "eoi_token": "<end_of_image>",

training_args.bin

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