End of training

README.md

@@ -0,0 +1,68 @@
+---
+base_model: eci-io/climategpt-7b
+library_name: peft
+license: other
+tags:
+- generated_from_trainer
+model-index:
+- name: climategpt-climate-finetune
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fayetitchenal-university-of-california-berkeley/climategpt_finetune/runs/4v1ra1mc)
+# climategpt-climate-finetune
+
+This model is a fine-tuned version of [eci-io/climategpt-7b](https://huggingface.co/eci-io/climategpt-7b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6497
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.6928        | 0.4444 | 50   | 1.6347          |
+| 1.439         | 0.8889 | 100  | 1.3206          |
+| 1.0466        | 1.3333 | 150  | 1.0716          |
+| 0.9062        | 1.7778 | 200  | 0.8967          |
+| 0.5053        | 2.2222 | 250  | 0.7718          |
+| 0.4923        | 2.6667 | 300  | 0.6497          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,35 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "eci-io/climategpt-7b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "o_proj",
+    "gate_proj",
+    "q_proj",
+    "up_proj",
+    "v_proj",
+    "lm_head",
+    "k_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d3e72b3cf7e5ed310b006e55cb5c30ce12581684d2bbaa3892b32ef013bccc7
+size 688672336

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ce0a12fb43d0a6b4a141ab2e1b31a9557f4c932e3ae489c2323c889cd7bfea4
+size 5240