damerajee/paligemma-hindi-version-1

README.md

@@ -0,0 +1,60 @@
+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: google/paligemma-3b-pt-224
+model-index:
+- name: paligemma-hindi
+  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. -->
+
+# paligemma-hindi
+
+This model is a fine-tuned version of [google/paligemma-3b-pt-224](https://huggingface.co/google/paligemma-3b-pt-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.4683
+- eval_runtime: 388.3071
+- eval_samples_per_second: 1.288
+- eval_steps_per_second: 1.288
+- epoch: 0.7111
+- step: 200
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.19.1

adapter_config.json

@@ -18,14 +18,17 @@
     "lm_head"
   ],
   "peft_type": "LORA",
-  "r": 64,
+  "r": 16,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "gate_proj",
     "o_proj",
-    "k_proj",
     "v_proj",
-    "q_proj"
+    "q_proj",
+    "k_proj",
+    "up_proj",
+    "down_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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runs/Jun02_11-45-59_f563fd6f7cdb/events.out.tfevents.1717329228.f563fd6f7cdb.35.0

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training_args.bin

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