End of training

README.md

@@ -0,0 +1,141 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: unsloth/mistral-7b-instruct-v0.2
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 54c053b1-f011-40a6-a332-84d98aa6cc1c
+  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.11.0.dev0`
+```yaml
+absolute_data_files: false
+base_model: unsloth/mistral-7b-instruct-v0.2
+bf16: true
+chat_template: llama3
+dataset_prepared_path: /workspace/axolotl
+datasets:
+- data_files:
+  - efeee16c20439a31_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/
+  type:
+    field_input: input
+    field_instruction: instruct
+    field_output: output
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_max_new_tokens: 512
+eval_table_size: null
+evals_per_epoch: 1
+flash_attention: true
+flash_attn_fuse_mlp: false
+flash_attn_fuse_qkv: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+gradient_clipping: 0.55
+group_by_length: false
+hub_model_id: tarabukinivanhome/54c053b1-f011-40a6-a332-84d98aa6cc1c
+hub_repo: null
+hub_strategy: end
+hub_token: null
+learning_rate: 5e-6
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lr_scheduler: cosine
+max_steps: 100
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/efeee16c20439a31_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 1
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: false
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+saves_per_epoch: 1
+sequence_len: 2048
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: dbc94164-560f-4206-8c79-ded5ca07f796
+wandb_project: s56-7
+wandb_run: your_name
+wandb_runid: dbc94164-560f-4206-8c79-ded5ca07f796
+warmup_steps: 5
+weight_decay: 0.01
+xformers: false
+xformers_attention: false
+
+```
+
+</details><br>
+
+# 54c053b1-f011-40a6-a332-84d98aa6cc1c
+
+This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2) 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: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 5
+- training_steps: 100
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

chat_template.jinja

@@ -0,0 +1,5 @@
+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
+
+'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
+
+' }}{% endif %}

config.json

@@ -0,0 +1,28 @@
+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "unsloth_version": "2024.9",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 32768,
+  "pad_token_id": 0,
+  "transformers_version": "4.52.4"
+}

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