End of training

README.md

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 ---
 license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: teknium/OpenHermes-2-Mistral-7B
+model-index:
+- name: Hermes-Agent
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: teknium/OpenHermes-2-Mistral-7B
+base_model_config: teknium/OpenHermes-2-Mistral-7B
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: THUDM/AgentInstruct
+    type: sharegpt
+    conversation: llama-2
+    split: os
+  - path: THUDM/AgentInstruct
+    type: sharegpt
+    conversation: llama-2
+    split: db
+  - path: THUDM/AgentInstruct
+    type: sharegpt
+    conversation: llama-2
+    split: alfworld
+  - path: THUDM/AgentInstruct
+    type: sharegpt
+    conversation: llama-2
+    split: webshop
+  - path: THUDM/AgentInstruct
+    type: sharegpt
+    conversation: llama-2
+    split: kg
+  - path: THUDM/AgentInstruct
+    type: sharegpt
+    conversation: llama-2
+    split: mind2web
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ./qlora-out
+
+wandb_project: "Mistral-Agent"
+wandb_log_model: "checkpoint"
+
+hub_model_id: "gultar/Hermes-Agent"
+
+chat_template: inst
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 8
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+loss_watchdog_threshold: 5.0
+loss_watchdog_patience: 3
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_table_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+lora_modules_to_save: 
+  - lm_head
+  - embed_tokens
+
+
+
+```
+
+</details><br>
+
+# Hermes-Agent
+
+This model is a fine-tuned version of [teknium/OpenHermes-2-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2-Mistral-7B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3002
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6859        | 0.03  | 1    | 0.7320          |
+| 0.3448        | 0.26  | 9    | 0.3382          |
+| 0.4193        | 0.53  | 18   | 0.3233          |
+| 0.2986        | 0.79  | 27   | 0.3002          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_model.bin

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