Model save

README.md

@@ -0,0 +1,59 @@
+---
+library_name: transformers
+license: other
+base_model: ai21labs/AI21-Jamba-1.5-Mini
+tags:
+- generated_from_trainer
+model-index:
+- name: llava-jamba-1.5-Mini-linear-336
+  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. -->
+
+# llava-jamba-1.5-Mini-linear-336
+
+This model is a fine-tuned version of [ai21labs/AI21-Jamba-1.5-Mini](https://huggingface.co/ai21labs/AI21-Jamba-1.5-Mini) on an unknown dataset.
+
+## 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: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 64
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 256
+- total_eval_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -55,7 +55,7 @@
   "transformers_version": "4.45.0.dev0",
   "tune_mm_mlp_adapter": false,
   "unfreeze_mm_vision_tower": false,
-  "use_cache": false,
+  "use_cache": true,
   "use_mamba_kernels": true,
   "use_mm_proj": true,
   "vocab_size": 65536

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": [
+    2,
+    518
+  ],
+  "pad_token_id": 0,
+  "transformers_version": "4.45.0.dev0"
+}