Lehen saiakera

README.md

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+---
+license: apache-2.0
+base_model: openlm-research/open_llama_3b_v2
+tags:
+- generated_from_trainer
+model-index:
+- name: data/openllama-3b-basque
+  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: `0.3.0`
+```yaml
+base_model: openlm-research/open_llama_3b_v2
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+hf_use_auth_token: true
+push_dataset_to_hub:
+datasets:
+  - path: xezpeleta/oasst-eu-llama2-chat
+    type: completion
+    conversation: llama2
+dataset_prepared_path:
+val_set_size: 0.02
+adapter:
+lora_model_dir:
+sequence_len: 1024
+sample_packing: true
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_modules:
+lora_target_linear:
+lora_fan_in_fan_out:
+wandb_project: openllama-3b-basque
+wandb_entity:
+wandb_watch:
+wandb_name: openllama-3b-basque-v1
+wandb_log_model:
+output_dir: /data/openllama-3b-basque
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+torchdistx_path:
+lr_scheduler: cosine
+learning_rate: 0.000003
+train_on_inputs: false
+group_by_length: false
+float16: true
+bf16: false
+fp16: false
+tf32: false
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+gptq_groupsize:
+gptq_model_v1:
+warmup_steps: 20
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+
+```
+
+</details><br>
+
+# data/openllama-3b-basque
+
+This model is a fine-tuned version of [openlm-research/open_llama_3b_v2](https://huggingface.co/openlm-research/open_llama_3b_v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1151
+
+## 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: 3e-06
+- 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: cosine
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.4011        | 0.0   | 1     | 3.5208          |
+| 2.4173        | 0.25  | 917   | 2.6480          |
+| 2.4849        | 0.5   | 1834  | 2.4465          |
+| 2.2639        | 0.75  | 2751  | 2.3302          |
+| 2.4403        | 1.0   | 3668  | 2.2548          |
+| 2.1016        | 1.23  | 4585  | 2.2111          |
+| 2.0178        | 1.48  | 5502  | 2.1805          |
+| 2.041         | 1.73  | 6419  | 2.1476          |
+| 2.0026        | 1.98  | 7336  | 2.1347          |
+| 1.7586        | 2.22  | 8253  | 2.1187          |
+| 1.8564        | 2.47  | 9170  | 2.1191          |
+| 1.766         | 2.72  | 10087 | 2.1147          |
+| 2.0431        | 2.97  | 11004 | 2.1157          |
+| 2.3418        | 3.2   | 11921 | 2.1147          |
+| 1.9713        | 3.45  | 12838 | 2.1151          |
+| 1.9072        | 3.7   | 13755 | 2.1151          |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "openlm-research/open_llama_3b_v2",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 3200,
+  "initializer_range": 0.02,
+  "intermediate_size": 8640,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 26,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.0.dev0"
+}

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