Delete checkpoint-6000

checkpoint-6000/README.md

@@ -1,202 +0,0 @@
----
-base_model: INSAIT-Institute/BgGPT-7B-Instruct-v0.2
-library_name: peft
----
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
-### Framework versions
-
-- PEFT 0.11.1

checkpoint-6000/adapter_config.json

@@ -1,32 +0,0 @@
-{
-  "alpha_pattern": {},
-  "auto_mapping": null,
-  "base_model_name_or_path": "INSAIT-Institute/BgGPT-7B-Instruct-v0.2",
-  "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": 16,
-  "lora_dropout": 0.1,
-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": [
-    "classifier",
-    "score"
-  ],
-  "peft_type": "LORA",
-  "r": 2,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "q_proj",
-    "v_proj"
-  ],
-  "task_type": "SEQ_CLS",
-  "use_dora": false,
-  "use_rslora": false
-}

checkpoint-6000/adapter_model.safetensors

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:63e0c3a6e2582f52afb8bbfefeaf639b2c555c64e0b3b446ef90a71d4c3c1c8b
-size 3457552

checkpoint-6000/optimizer.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1479c14e1eae10d5e4e27c06d6c669ae63e2a7e830cf7962c5743f398d13a13f
-size 6989317

checkpoint-6000/rng_state.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:33c363f208126dd0cfa98c20fe918ba4760f3d6a147c257178164cf2fa745a7b
-size 14575

checkpoint-6000/scheduler.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:8c2626b983ecbacc1ccfcb7fcf1e62074685b87b27ab7b4d315bc78ffbbd4638
-size 627

checkpoint-6000/special_tokens_map.json

@@ -1,24 +0,0 @@
-{
-  "bos_token": {
-    "content": "<s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "</s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "</s>",
-  "unk_token": {
-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
-}

checkpoint-6000/tokenizer.model

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b215eba49b42809f353519c81f0d4b8ce3a3a764e865e09a2a3652f7d4c505fd
-size 624187

checkpoint-6000/tokenizer_config.json

@@ -1,43 +0,0 @@
-{
-  "add_bos_token": true,
-  "add_eos_token": true,
-  "add_prefix_space": null,
-  "added_tokens_decoder": {
-    "0": {
-      "content": "<unk>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "1": {
-      "content": "<s>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "2": {
-      "content": "</s>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    }
-  },
-  "bos_token": "<s>",
-  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
-  "clean_up_tokenization_spaces": false,
-  "eos_token": "</s>",
-  "legacy": true,
-  "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "</s>",
-  "sp_model_kwargs": {},
-  "spaces_between_special_tokens": false,
-  "tokenizer_class": "LlamaTokenizer",
-  "unk_token": "<unk>",
-  "use_default_system_prompt": false
-}

checkpoint-6000/trainer_state.json

@@ -1,117 +0,0 @@
-{
-  "best_metric": null,
-  "best_model_checkpoint": null,
-  "epoch": 10.221465076660989,
-  "eval_steps": 500,
-  "global_step": 6000,
-  "is_hyper_param_search": false,
-  "is_local_process_zero": true,
-  "is_world_process_zero": true,
-  "log_history": [
-    {
-      "epoch": 0.8517887563884157,
-      "grad_norm": 0.07218749076128006,
-      "learning_rate": 4.6128232925507207e-05,
-      "loss": 1.4771,
-      "step": 500
-    },
-    {
-      "epoch": 1.7035775127768313,
-      "grad_norm": 3.5773040779618626e-11,
-      "learning_rate": 4.2256465851014404e-05,
-      "loss": 0.6892,
-      "step": 1000
-    },
-    {
-      "epoch": 2.555366269165247,
-      "grad_norm": 1.4907100549597627e-18,
-      "learning_rate": 3.838469877652161e-05,
-      "loss": 0.391,
-      "step": 1500
-    },
-    {
-      "epoch": 3.4071550255536627,
-      "grad_norm": 8.450392385839223e-09,
-      "learning_rate": 3.4512931702028805e-05,
-      "loss": 0.0828,
-      "step": 2000
-    },
-    {
-      "epoch": 4.258943781942079,
-      "grad_norm": 6.480125307462004e-07,
-      "learning_rate": 3.064116462753601e-05,
-      "loss": 0.0007,
-      "step": 2500
-    },
-    {
-      "epoch": 5.1107325383304945,
-      "grad_norm": 5.91474647038126e-09,
-      "learning_rate": 2.6769397553043214e-05,
-      "loss": 0.0076,
-      "step": 3000
-    },
-    {
-      "epoch": 5.9625212947189095,
-      "grad_norm": 2.0850879616646223e-12,
-      "learning_rate": 2.289763047855041e-05,
-      "loss": 0.0003,
-      "step": 3500
-    },
-    {
-      "epoch": 6.814310051107325,
-      "grad_norm": 5.3014091463410296e-06,
-      "learning_rate": 1.9025863404057612e-05,
-      "loss": 0.0,
-      "step": 4000
-    },
-    {
-      "epoch": 7.666098807495741,
-      "grad_norm": 2.4710752541401426e-11,
-      "learning_rate": 1.5154096329564816e-05,
-      "loss": 0.0,
-      "step": 4500
-    },
-    {
-      "epoch": 8.517887563884157,
-      "grad_norm": 1.3310883045196533,
-      "learning_rate": 1.1282329255072017e-05,
-      "loss": 0.0,
-      "step": 5000
-    },
-    {
-      "epoch": 9.369676320272573,
-      "grad_norm": 1.0832469470034578e-11,
-      "learning_rate": 7.410562180579217e-06,
-      "loss": 0.0,
-      "step": 5500
-    },
-    {
-      "epoch": 10.221465076660989,
-      "grad_norm": 6.389404006768018e-05,
-      "learning_rate": 3.538795106086418e-06,
-      "loss": 0.0,
-      "step": 6000
-    }
-  ],
-  "logging_steps": 500,
-  "max_steps": 6457,
-  "num_input_tokens_seen": 0,
-  "num_train_epochs": 11,
-  "save_steps": 500,
-  "stateful_callbacks": {
-    "TrainerControl": {
-      "args": {
-        "should_epoch_stop": false,
-        "should_evaluate": false,
-        "should_log": false,
-        "should_save": true,
-        "should_training_stop": false
-      },
-      "attributes": {}
-    }
-  },
-  "total_flos": 1.996428693314765e+16,
-  "train_batch_size": 1,
-  "trial_name": null,
-  "trial_params": null
-}

checkpoint-6000/training_args.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c7e4565a740440cfd3cffd3b4c4a1dca4bb4809e0a9a16dc4cab4a375e10e6e3
-size 4667