lsmille/lora_evo_ta_all_layers_18_attention_layers

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: togethercomputer/evo-1-8k-base
+model-index:
+- name: lora_evo_ta_all_layers_18_attention_layers
+  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. -->
+
+# lora_evo_ta_all_layers_18_attention_layers
+
+This model is a fine-tuned version of [togethercomputer/evo-1-8k-base](https://huggingface.co/togethercomputer/evo-1-8k-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8474
+
+## 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: 0.0003
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.0886        | 0.375 | 1200 | 3.0465          |
+| 3.0274        | 0.75  | 2400 | 2.9992          |
+| 2.9835        | 1.125 | 3600 | 2.9622          |
+| 2.9334        | 1.5   | 4800 | 2.9397          |
+| 2.8989        | 1.875 | 6000 | 2.9026          |
+| 2.8609        | 2.25  | 7200 | 2.8744          |
+| 2.8413        | 2.625 | 8400 | 2.8584          |
+| 2.8341        | 3.0   | 9600 | 2.8474          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "StripedHyenaModelForCausalLM",
+    "parent_library": "transformers_modules.togethercomputer.evo-1-131k-base.567369e9825aa08b3de4b122fca34fac6a890602.modeling_hyena"
+  },
+  "base_model_name_or_path": "togethercomputer/evo-1-8k-base",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "backbone.blocks.24.inner_mha_cls.out_proj",
+    "backbone.blocks.8.inner_mha_cls.Wqkv",
+    "backbone.blocks.8.inner_mha_cls.out_proj",
+    "backbone.blocks.16.inner_mha_cls.Wqkv",
+    "backbone.blocks.16.inner_mha_cls.out_proj",
+    "backbone.blocks.24.inner_mha_cls.Wqkv"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 9438912

special_tokens_map.json

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+{
+  "eos_token": {
+    "content": " ",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": " "
+}

tokenizer_config.json

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+{
+  "_commit_hash": "cb2b3eb17365b1c22deab9114aec7afb2746c9f1",
+  "_from_auto": true,
+  "added_tokens_decoder": {
+    "32": {
+      "content": " ",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "byte_level": true,
+  "clean_up_tokenization_spaces": true,
+  "eos_token": " ",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": " ",
+  "tokenizer_class": "ByteTokenizer",
+  "trust_remote_code": true
+}

training_args.bin

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